Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data


Gaussian smoothing gradient descent for minimizing functions (GSmoothGD)


Gaussian-Like Immersed Boundary Kernels with Three Continuous Derivatives and Improved Translational Invariance


GaussianAD: Gaussian-Centric End-to-End Autonomous Driving


GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians


GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians


GaussianCity: Generative Gaussian Splatting for Unbounded 3D City Generation


GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models


GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting


GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping


GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation


GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting


GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting


GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving


GaussianSpeech: Audio-Driven Gaussian Avatars


GaussianStyle: Gaussian Head Avatar via StyleGAN


GaussianTalker: Real-Time High-Fidelity Talking Head Synthesis with Audio-Driven 3D Gaussian Splatting


GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting


Gaussianity and typicality in matrix distributional semantics


Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes


Gautschi-type and implicit-explicit integrators for constrained wave equations


Gaze Preserving CycleGANs for Eyeglass Removal & Persistent Gaze Estimation


Gaze into the Pattern: Characterizing Spatial Patterns with Internal Temporal Correlations for Hardware Prefetching


Gaze-Assisted Medical Image Segmentation


Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening


Gaze-Guided Learning: Avoiding Shortcut Bias in Visual Classification


Gaze-Guided Robotic Vascular Ultrasound Leveraging Human Intention Estimation


Gaze-Guided Task Decomposition for Imitation Learning in Robotic Manipulation


Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty


Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders


Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image


GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification


GazeGenie: Enhancing Multi-Line Reading Research with an Innovative User-Friendly Tool


GazeMAE: General Representations of Eye Movements using a Micro-Macro Autoencoder


GazeNeRF: 3D-Aware Gaze Redirection with Neural Radiance Fields


GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking


GazeSAM: What You See is What You Segment


GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network


GazeSearch: Radiology Findings Search Benchmark


Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention


Gazetteer-Enhanced Bangla Named Entity Recognition with BanglaBERT Semantic Embeddings K-Means-Infused CRF Model


GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies


GeCo: Quality Counterfactual Explanations in Real Time


GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency


GeLLMO: Generalizing Large Language Models for Multi-property Molecule Optimization


GeMID: Generalizable Models for IoT Device Identification


GeNAS: Neural Architecture Search with Better Generalization


GeNIe: Generative Hard Negative Images Through Diffusion


GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns


GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm


GeOT: A spatially explicit framework for evaluating spatio-temporal predictions


GePpeTto Carves Italian into a Language Model


GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question Answering


Geant4 Modeling of a Cerium Bromide Scintillator Detector for the IMPRESS CubeSat Mission


GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation


Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction


GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger


Gelfand-Tsetlin basis for partially transposed permutations, with applications to quantum information


Gelfand-Tsetlin modules: canonicity and calculations


GemNet: Universal Directional Graph Neural Networks for Molecules


Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations


Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models


Gemini-LIGHTS: Herbig Ae/Be and massive T-Tauri protoplanetary disks imaged with Gemini Planet Imager


Gemini2: Generating Keyframe-Oriented Animated Transitions Between Statistical Graphics


Gemini: Dynamic Bias Correction for Autonomous Experimentation and Molecular Simulation


Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators


GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer


Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning


Gemstones: A Model Suite for Multi-Faceted Scaling Laws


Gen TSO: A General JWST Simulator for Exoplanet Times-series Observations


Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising


Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition


GenAD: Generative End-to-End Autonomous Driving


GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative Models


GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis


GenAug: Data Augmentation for Finetuning Text Generators


GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology


GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data


GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding


GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models


GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings


GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment


GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning


GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes


GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration


GenHap: A Novel Computational Method Based on Genetic Algorithms for Haplotype Assembly


GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos


GenIC: An LLM-Based Framework for Instance Completion in Knowledge Graphs


GenIE: Generative Information Extraction


GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language Models


GenKIE: Robust Generative Multimodal Document Key Information Extraction


GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence


GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge Subtraction


GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots


GenML: A Python Library to Generate the Mittag-Leffler Correlated Noise


GenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map Construction


GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis


GenN2N: Generative NeRF2NeRF Translation


GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction


GenPlan: Generative Sequence Models as Adaptive Planners


GenPlot: Increasing the Scale and Diversity of Chart Derendering Data


GenRC: Generative 3D Room Completion from Sparse Image Collections


GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models


GenRL: Multimodal-foundation world models for generalization in embodied agents


GenRec: Generative Sequential Recommendation with Large Language Models


GenRec: Large Language Model for Generative Recommendation


GenRec: Unifying Video Generation and Recognition with Diffusion Models


GenS: Generalizable Neural Surface Reconstruction from Multi-View Images


GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication


GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions


GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot Filling


GenSim: A General Social Simulation Platform with Large Language Model based Agents


GenSim: Generating Robotic Simulation Tasks via Large Language Models


GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised Matching


GenStore: A High-Performance and Energy-Efficient In-Storage Computing System for Genome Sequence Analysis


GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language Models


GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources


GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models


GenTL: A General Transfer Learning Model for Building Thermal Dynamics


GenTe: Generative Real-world Terrains for General Legged Robot Locomotion Control


GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators


GenUDC: High Quality 3D Mesh Generation with Unsigned Dual Contouring Representation


GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems


GenVectorX: A performance-portable SYCL library for Lorentz Vectors operations


GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning


GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping


GenZ-ICP: Generalizable and Degeneracy-Robust LiDAR Odometry Using an Adaptive Weighting


GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder


Gender Bias Detection in Court Decisions: A Brazilian Case Study


Gender Bias Mitigation for Bangla Classification Tasks


Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts


Gender Bias in English-to-Greek Machine Translation


Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods


Gender Bias in Masked Language Models for Multiple Languages


Gender Bias in Text: Labeled Datasets and Lexicons


Gender Biases in Automatic Evaluation Metrics for Image Captioning


Gender Gaps in Online Social Connectivity, Promotion and Relocation Reports on LinkedIn


Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features


Gender gaps in frontier entrepreneurship? Evidence from 1901 Oklahoma land lottery winners


Gender identity and lexical variation in social media


Gender inequality and self-publication patterns among scientific editors


Gender-Inclusive Grammatical Error Correction through Augmentation


Gender-dependent Contribution, Code and Creativity in a Virtual Programming Course


Gender-preserving Debiasing for Pre-trained Word Embeddings


GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models


GenderBench: Evaluation Suite for Gender Biases in LLMs


GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models


Gendered Pronoun Resolution using BERT and an extractive question answering formulation


GenderedNews: Une approche computationnelle des écarts de représentation des genres dans la presse française


Gene Hunting with Knockoffs for Hidden Markov Models


Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View


Gene Set Summarization using Large Language Models


Gene Tree Construction and Correction using SuperTree and Reconciliation


Gene expression noise accelerates the evolution of a biological oscillator


Gene network robustness as a multivariate character


Gene set proximity analysis: expanding gene set enrichment analysis through learned geometric embeddings


Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic information


Gene-gene interaction analysis incorporating network information via a structured Bayesian approach


GeneA-SLAM2: Dynamic SLAM with AutoEncoder-Preprocessed Genetic Keypoints Resampling and Depth Variance-Guided Dynamic Region Removal


GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph


GeneBreaker: Jailbreak Attacks against DNA Language Models with Pathogenicity Guidance


GeneFEAST: the pivotal, gene-centric step in functional enrichment analysis interpretation


GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information


GeneMask: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning


GeneNet VR: Interactive visualization of large-scale biological networks using a standalone headset


GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion


GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology Images


Genealogical Population-Based Training for Hyperparameter Optimization


GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech


General 3D Room Layout from a Single View by Render-and-Compare


General Automation in Coq through Modular Transformations


General Bayesian Loss Function Selection and the use of Improper Models


General Bayesian inference for causal effects using covariate balancing procedure


General Characterization of Agents by States they Visit


General Covariance Data Augmentation for Neural PDE Solvers


General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings


General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout


General Debiasing for Multimodal Sentiment Analysis


General Detection-based Text Line Recognition


General Distributions of Number Representation Elements


General Domain Adaptation Through Proportional Progressive Pseudo Labeling


General Feature Extraction In SAR Target Classification: A Contrastive Learning Approach Across Sensor Types


General Flow as Foundation Affordance for Scalable Robot Learning


General Frameworks for Conditional Two-Sample Testing


General Geometry-aware Weakly Supervised 3D Object Detection


General Geospatial Inference with a Population Dynamics Foundation Model


General Identifiability and Achievability for Causal Representation Learning


General Image-to-Image Translation with One-Shot Image Guidance


General Inferential Limits Under Differential and Pufferfish Privacy


General Instance Distillation for Object Detection


General Inverse Design of Thin-Film Metamaterials With Convolutional Neural Networks


General Latent Feature Models for Heterogeneous Datasets


General Mechanism of Evolution Shared by Proteins and Words


General Multi-label Image Classification with Transformers


General Object Foundation Model for Images and Videos at Scale


General Optimization Framework for Recurrent Reachability Objectives


General Phase Regularized Reconstruction using Phase Cycling


General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level


General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models


General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States


General Preference Modeling with Preference Representations for Aligning Language Models


General Purpose Atomic Crosschain Transactions


General Quantum Alchemical Free Energy Simulations via Hamiltonian Interpolation


General Relativity from Intersection Theory


General Relaxation Methods for Initial-Value Problems with Application to Multistep Schemes


General Robot Dynamics Learning and Gen2Real


General Scene Adaptation for Vision-and-Language Navigation


General Subpopulation Framework and Taming the Conflict Inside Populations


General and Domain Adaptive Chinese Spelling Check with Error Consistent Pretraining


General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo


General and Task-Oriented Video Segmentation


General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of BiCGStab methods


General framework of quantum complementarity from a measurement-based perspective


General linear threshold models with application to influence maximization


General parameter-shift rules for quantum gradients


General policy mapping: online continual reinforcement learning inspired on the insect brain


General relativistic precession and the long-term stability of the solar system


General rogue waves of infinite order: Exact properties, asymptotic behavior, and effective numerical computation


General scores for accessibility and inequality measures in urban areas


General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning


General surgery vision transformer: A video pre-trained foundation model for general surgery


General targeted machine learning for modern causal mediation analysis


General theories of linear gravitational perturbations to a Schwarzschild Black Hole


General theory of slow non-Hermitian evolution


General theory of specific binding: insights from a genetic-mechano-chemical protein model


General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox


General-Purpose $f$-DP Estimation and Auditing in a Black-Box Setting


General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation


General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History


General-Purpose User Embeddings based on Mobile App Usage


General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation


GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features


Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation


Generalisation Through Negation and Predicate Invention


Generalisation in humans and deep neural networks


Generalisation of neuronal excitability allows for the identification of an excitability change parameter that links to an experimentally measurable value


Generalisation of the Menegozzi & Lamb Maser Algorithm to the Transient Superradiance Regime


Generalised Automatic Anatomy Finder (GAAF): A general framework for 3D location-finding in CT scans


Generalised Bayesian Inference for Discrete Intractable Likelihood


Generalised Bayesian distance-based phylogenetics for the genomics era


Generalised Covariances and Correlations


Generalised Graph Grammars for Natural Language Processing


Generalised Image Outpainting with U-Transformer


Generalised Implicit Neural Representations


Generalised Jeffery's equations for rapidly spinning particles. Part 1: Spheroids


Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series


Generalised Multiparty Session Types with Crash-Stop Failures (Technical Report)


Generalised Mutual Information for Discriminative Clustering


Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection


Generalised conditions for rapid-turn inflation


Generalised envelope spectrum-based signal-to-noise objectives: Formulation, optimisation and application for gear fault detection under time-varying speed conditions


Generalised hydrogen interactions with $\texttt{CINCO}$: a window to new physics


Generalised likelihood profiles for models with intractable likelihoods


Generalised shot noise representations of stochastic systems driven by non-Gaussian Lévy processes


Generalising Discrete Action Spaces with Conditional Action Trees


Generalising Multi-Agent Cooperation through Task-Agnostic Communication


Generalising Random Forest Parameter Optimisation to Include Stability and Cost


Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning


Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation


Generalist embedding models are better at short-context clinical semantic search than specialized embedding models


Generalist: Decoupling Natural and Robust Generalization


Generalizability in Document Layout Analysis for Scientific Article Figure & Caption Extraction


Generalizability of experimental studies


Generalizability of predictive models for intensive care unit patients


Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation


Generalizable Black-Box Adversarial Attack with Meta Learning


Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models


Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization


Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization


Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude Estimation Using 6DoF Inertial Measurement Units


Generalizable Episodic Memory for Deep Reinforcement Learning


Generalizable Face Landmarking Guided by Conditional Face Warping


Generalizable Facial Expression Recognition


Generalizable Graph Neural Networks for Robust Power Grid Topology Control


Generalizable Human Gaussians for Sparse View Synthesis


Generalizable Human Gaussians from Single-View Image


Generalizable Image Repair for Robust Visual Autonomous Racing


Generalizable Implicit Neural Representations via Instance Pattern Composers


Generalizable Learning Reconstruction for Accelerating MR Imaging via Federated Neural Architecture Search


Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations


Generalizable Local Feature Pre-training for Deformable Shape Analysis


Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration


Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning


Generalizable Mixed-Precision Quantization via Attribution Rank Preservation


Generalizable Model-agnostic Semantic Segmentation via Target-specific Normalization


Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis


Generalizable Pose Estimation Using Implicit Scene Representations


Generalizable Representation Learning for fMRI-based Neurological Disorder Identification


Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning


Generalizable Sarcasm Detection Is Just Around The Corner, Of Course!


Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms


Generalizable Single-view Object Pose Estimation by Two-side Generating and Matching


Generalizable Sleep Staging via Multi-Level Domain Alignment


Generalizable Synthetic Image Detection via Language-guided Contrastive Learning


Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations


Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Components


Generalizable Visual Reinforcement Learning with Segment Anything Model


Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction


Generalizable and Robust Spectral Method for Multi-view Representation Learning


Generalizable and Scalable Multistage Biomedical Concept Normalization Leveraging Large Language Models


Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts


Generalizable and explainable prediction of potential miRNA-disease associations based on heterogeneous graph learning


Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study


Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean models


Generalizable synthetic MRI with physics-informed convolutional networks


Generalizable, Fast, and Accurate DeepQSPR with fastprop


Generalization Ability of MOS Prediction Networks


Generalization Across Experimental Parameters in Machine Learning Analysis of High Resolution Transmission Electron Microscopy Datasets


Generalization Analogies: A Testbed for Generalizing AI Oversight to Hard-To-Measure Domains


Generalization Bound and New Algorithm for Clean-Label Backdoor Attack


Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis


Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis


Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation


Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge


Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability


Generalization Bounds via Conditional $f$-Information


Generalization Challenges for Neural Architectures in Audio Source Separation


Generalization Comparison of Deep Neural Networks via Output Sensitivity


Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples


Generalization Error Matters in Decentralized Learning Under Byzantine Attacks


Generalization Error of Graph Neural Networks in the Mean-field Regime


Generalization Gap in Amortized Inference


Generalization Guarantees for Imitation Learning


Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors


Generalization Limits of Graph Neural Networks in Identity Effects Learning


Generalization Performance of Hypergraph Neural Networks


Generalization Through The Lens Of Leave-One-Out Error


Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning


Generalization and Equilibrium in Generative Adversarial Nets (GANs)


Generalization and Robustness Implications in Object-Centric Learning


Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation


Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models


Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics


Generalization capabilities of translationally equivariant neural networks


Generalization despite overfitting in quantum machine learning models


Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?


Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics


Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck


Generalization in Text-based Games via Hierarchical Reinforcement Learning


Generalization in diffusion models arises from geometry-adaptive harmonic representations


Generalization of CNNs on Relational Reasoning with Bar Charts


Generalization of Graph-Based Active Learning Relaxation Strategies Across Materials


Generalization of LRU Cache Replacement Policy with Applications to Video Streaming


Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems


Generalization of Reinforcement Learners with Working and Episodic Memory


Generalization of Task Parameterized Dynamical Systems using Gaussian Process Transportation


Generalization of the Alpha-Stable Distribution with the Degree of Freedom


Generalization on the Unseen, Logic Reasoning and Degree Curriculum


Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models


Generalization over different cellular automata rules learned by a deep feed-forward neural network


Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight


Generalization through variance: how noise shapes inductive biases in diffusion models


Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning


Generalization-Enhanced Few-Shot Object Detection in Remote Sensing


Generalizations across filler-gap dependencies in neural language models


Generalize Polyp Segmentation via Inpainting across Diverse Backgrounds and Pseudo-Mask Refinement


Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances


Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts


Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation


GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts


Generalized Activation via Multivariate Projection


Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains


Generalized Bayesian Additive Regression Trees for Restricted Mean Survival Time Inference


Generalized Bayesian Likelihood-Free Inference


Generalized Bayesian MARS: Tools for Emulating Stochastic Computer Models


Generalized Binary Search Network for Highly-Efficient Multi-View Stereo


Generalized Bloch model: a theory for pulsed magnetization transfer


Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons


Generalized Capsule Networks with Trainable Routing Procedure


Generalized Carter constant for quadrupolar test bodies in Kerr spacetime


Generalized Category Discovery in Semantic Segmentation


Generalized Category Discovery via Token Manifold Capacity Learning


Generalized Category Discovery with Decoupled Prototypical Network


Generalized Category Discovery with Large Language Models in the Loop


Generalized Causal Tree for Uplift Modeling


Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding


Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching


Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation


Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models


Generalized Conditional Functional Principal Component Analysis


Generalized Consistency Trajectory Models for Image Manipulation


Generalized Contrastive Learning for Multi-Modal Retrieval and Ranking


Generalized Decision Transformer for Offline Hindsight Information Matching


Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems


Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks


Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT Images


Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection


Generalized Disparate Impact for Configurable Fairness Solutions in ML


Generalized Distribution Prediction for Asset Returns


Generalized Early Stopping in Evolutionary Direct Policy Search


Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression


Generalized Equivariance and Preferential Labeling for GNN Node Classification


Generalized Face Anti-spoofing via Finer Domain Partition and Disentangling Liveness-irrelevant Factors


Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer


Generalized Fast Krasnosel'kiĭ-Mann Method with Preconditioners


Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters


Generalized Few-Shot Object Detection without Forgetting


Generalized Few-Shot Point Cloud Segmentation Via Geometric Words


Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation


Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model


Generalized Few-shot Semantic Segmentation


Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning


Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework


Generalized Grade-of-Membership Estimation for High-dimensional Locally Dependent Data


Generalized Heterogeneous Functional Model with Applications to Large-scale Mobile Health Data


Generalized Implicit Factorization Problem


Generalized Intent Discovery: Learning from Open World Dialogue System


Generalized Interpolating Discrete Diffusion


Generalized Iterative Scaling for Regularized Optimal Transport with Affine Constraints: Application Examples


Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels


Generalized Knowledge Distillation via Relationship Matching


Generalized Laplacian Regularized Framelet Graph Neural Networks


Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching


Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing


Generalized Learning of Coefficients in Spectral Graph Convolutional Networks


Generalized Least Squares Kernelized Tensor Factorization


Generalized Lie Symmetries in Physics-Informed Neural Operators


Generalized Lightness Adaptation with Channel Selective Normalization


Generalized Linear Bandits with Local Differential Privacy


Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models


Generalized Lomb-Scargle Analysis of 22 years of Super-Kamiokande solar $^8$B neutrino data


Generalized Lomb-Scargle analysis of $\rm{^{123}I}$ and $\rm{^{99m}Tc}$ decay rate measurements


Generalized M-Estimation in Censored Regression Model under Endogeneity


Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays


Generalized Measures of Anticipation and Responsivity in Online Language Processing


Generalized Meta-Analysis for Multiple Regression Models Across Studies with Disparate Covariate Information


Generalized Minimum Error Entropy for Adaptive Filtering


Generalized Minkowski sets for the regularization of inverse problems


Generalized Morse Theory of Distance Functions to Surfaces for Persistent Homology


Generalized Multi-Output Gaussian Process Censored Regression


Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models


Generalized Neural Closure Models with Interpretability


Generalized Normalizing Flows via Markov Chains


Generalized One-shot Domain Adaptation of Generative Adversarial Networks


Generalized Out-of-Distribution Detection: A Survey


Generalized Penalty for Circular Coordinate Representation


Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control


Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators


Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objects


Generalized Planning for the Abstraction and Reasoning Corpus


Generalized Planning in PDDL Domains with Pretrained Large Language Models


Generalized Planning with Positive and Negative Examples


Generalized Pohst inequality and small regulators


Generalized Poincaré Orthogonality: A New Approach to POLSAR Data Analysis


Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse


Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning


Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints


Generalized Posteriors in Approximate Bayesian Computation


Generalized Power Attacks against Crypto Hardware using Long-Range Deep Learning


Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal


Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series


Generalized Pseudospectral Shattering and Inverse-Free Matrix Pencil Diagonalization


Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks


Generalized Quantum Signal Processing and Non-Linear Fourier Transform are equivalent


Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports


Generalized Random Forests using Fixed-Point Trees


Generalized Real-World Super-Resolution through Adversarial Robustness


Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise


Generalized Rectifier Wavelet Covariance Models For Texture Synthesis


Generalized Reference Kernel for One-class Classification


Generalized Regression with Conditional GANs


Generalized Regular k-point Grid Generation On The Fly


Generalized Relation Modeling for Transformer Tracking


Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data


Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression


Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia


Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes


Generalized Second Order Value Iteration in Markov Decision Processes


Generalized Seismic Phase Detection with Deep Learning


Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection


Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning


Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images


Generalized Similarity U: A Non-parametric Test of Association Based on Similarity


Generalized Simplicial Attention Neural Networks


Generalized Sliced Wasserstein Distances


Generalized Sobolev Transport for Probability Measures on a Graph


Generalized Solution for Double-Porosity Flow through a Graded Excavation Damaged Zone


Generalized Source-free Domain Adaptation


Generalized Spectral Clustering via Gromov-Wasserstein Learning


Generalized Strategic Classification and the Case of Aligned Incentives


Generalized Sum Pooling for Metric Learning


Generalized Teacher Forcing for Learning Chaotic Dynamics


Generalized Trajectory Scoring for End-to-end Multimodal Planning


Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation


Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization


Generalized Universe Hierarchies and First-Class Universe Levels


Generalized Unsupervised Clustering of Hyperspectral Images of Geological Targets in the Near Infrared


Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning


Generalized Variational Inference: Three arguments for deriving new Posteriors


Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models


Generalized Weighted Permutation Entropy


Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow


Generalized Ziggurat Algorithm for Unimodal and Unbounded Probability Density Functions with Zest


Generalized adaptive partition-based method for two-stage stochastic linear programs : convergence and generalization


Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution


Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting


Generalized and Scalable Optimal Sparse Decision Trees


Generalized asymptotic formulae for estimating statistical significance in high energy physics analyses


Generalized autocorrelation analysis for multi-target detection


Generalized bootstrap in the Bures-Wasserstein space


Generalized cyclic symmetric decompositions for the matrix multiplication tensor


Generalized extrapolation methods based on compositions of a basic 2nd-order scheme


Generalized fast quasi-adiabatic population transfer for improved qubit readout, shuttling, and noise mitigation


Generalized fusions of photonic quantum states using static linear optics


Generalized multiple change-point detection in the structure of multivariate, possibly high-dimensional, data sequences


Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks


Generalized network autoregressive modelling of longitudinal networks with application to presidential elections in the USA


Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations


Generalized quasi-Keplerian solution for eccentric, non-spinning compact binaries at 4PN order and the associated IMR waveform


Generalized reliability based on distances


Generalized sharped cubic form and split spin factor algebra


Generalized sparse Bayesian learning and application to image reconstruction


Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances


Generalized super-resolution 4D Flow MRI $\unicode{x2013}$ using ensemble learning to extend across the cardiovascular system


Generalized system identification with stable spline kernels


Generalized upwind summation-by-parts operators and their application to nodal discontinuous Galerkin methods


Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization


Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge


Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders


Generalizing Backpropagation for Gradient-Based Interpretability


Generalizing Clinical Trials with Convex Hulls


Generalizing Constraint Models in Constraint Acquisition


Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation


Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora


Generalizing Dataset Distillation via Deep Generative Prior


Generalizing Differentially Private Decentralized Deep Learning with Multi-Agent Consensus


Generalizing Downsampling from Regular Data to Graphs


Generalizing Event-Based Motion Deblurring in Real-World Scenarios


Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria


Generalizing Few-Shot NAS with Gradient Matching


Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning


Generalizing Gaussian Smoothing for Random Search


Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning


Generalizing Graph Neural Networks on Out-Of-Distribution Graphs


Generalizing Hamiltonian Monte Carlo with Neural Networks


Generalizing Homophily to Simplicial Complexes


Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization


Generalizing Math Word Problem Solvers via Solution Diversification


Generalizing Medical Image Representations via Quaternion Wavelet Networks


Generalizing Monocular 3D Human Pose Estimation in the Wild


Generalizing Neural Networks by Reflecting Deviating Data in Production


Generalizing Orthogonalization for Models with Non-Linearities


Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions


Generalizing Reward Modeling for Out-of-Distribution Preference Learning


Generalizing Roberts' characterization of unit interval graphs


Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy


Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects


Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks


Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architectures


Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases


Generalizing Tree Probability Estimation via Bayesian Networks


Generalizing Universal Adversarial Attacks Beyond Additive Perturbations


Generalizing Variational Autoencoders with Hierarchical Empirical Bayes


Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model


Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling


Generalizing Weisfeiler-Lehman Kernels to Subgraphs


Generalizing Word Embeddings using Bag of Subwords


Generalizing and Hybridizing Count-based and Neural Language Models


Generalizing electrocardiogram delineation -- Training convolutional neural networks with synthetic data augmentation


Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?


Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPO


Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks


Generalizing over Long Tail Concepts for Medical Term Normalization


Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder


Generalizing to New Physical Systems via Context-Informed Dynamics Model


Generalizing to Out-of-Sample Degradations via Model Reprogramming


Generalizing to Unseen Domains in Diabetic Retinopathy Classification


Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations


Generate (non-software) Bugs to Fool Classifiers


Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming


Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style


Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps


Generate plane quad mesh with neural networks and tree search


Generate rather than Retrieve: Large Language Models are Strong Context Generators


Generate the Forest before the Trees -- A Hierarchical Diffusion model for Climate Downscaling


Generate then Refine: Data Augmentation for Zero-shot Intent Detection


Generate to Understand for Representation


Generate your neural signals from mine: individual-to-individual EEG converters


Generate, Annotate, and Learn: NLP with Synthetic Text


Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework


Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems


Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech


Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling


Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering


GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes


Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models


Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2


Generated Knowledge Prompting for Commonsense Reasoning


Generated Loss, Augmented Training, and Multiscale VAE


Generating $N$-point spherical configurations with low mesh ratios using spherical area coordinates


Generating $SROI^-$ Ontologies via Knowledge Graph Query Embedding Learning


Generating 3 qubit quantum circuits with neural networks


Generating 3D House Wireframes with Semantics


Generating 3D Molecules for Target Protein Binding


Generating 3D faces using Convolutional Mesh Autoencoders


Generating 3D structures from a 2D slice with GAN-based dimensionality expansion


Generating API Parameter Security Rules with LLM for API Misuse Detection


Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations


Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning


Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model


Generating Adversarial Examples with Task Oriented Multi-Objective Optimization


Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial Robustness


Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera


Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models


Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects


Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User Interaction


Generating Anthropomorphic Phantoms Using Fully Unsupervised Deformable Image Registration with Convolutional Neural Networks


Generating Approximate Ground States of Molecules Using Quantum Machine Learning


Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation


Generating Biomedical Question Answering Corpora from Q&A forums


Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles


Generating Chord Progression from Melody with Flexible Harmonic Rhythm and Controllable Harmonic Density


Generating Clarifying Questions for Query Refinement in Source Code Search


Generating Classical Chinese Poems from Vernacular Chinese


Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning


Generating Clues for Gender based Occupation De-biasing in Text


Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search


Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework


Generating Completions for Fragmented Broca's Aphasic Sentences Using Large Language Models


Generating Context-Aware Natural Answers for Questions in 3D Scenes


Generating Continuations in Multilingual Idiomatic Contexts


Generating Correctness Proofs with Neural Networks


Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets


Generating Data using Monte Carlo Dropout


Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognition


Generating Datasets of 3D Garments with Sewing Patterns


Generating Datasets with Pretrained Language Models


Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization


Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks


Generating Diverse 3D Reconstructions from a Single Occluded Face Image


Generating Diverse Audio-Visual 360 Soundscapes for Sound Event Localization and Detection


Generating Diverse Descriptions from Semantic Graphs


Generating Diverse Vocal Bursts with StyleGAN2 and MEL-Spectrograms


Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs


Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding


Generating Diverse and Meaningful Captions


Generating Editable Head Avatars with 3D Gaussian GANs


Generating Elementary Integrable Expressions


Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression


Generating Empathetic Responses by Looking Ahead the User's Sentiment


Generating Evidential BEV Maps in Continuous Driving Space


Generating Executable Action Plans with Environmentally-Aware Language Models


Generating Extended Resolution Proofs with a BDD-Based SAT Solver


Generating Fact Checking Summaries for Web Claims


Generating Faithful and Salient Text from Multimodal Data


Generating Fault-Tolerant Cluster States from Crystal Structures


Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes


Generating Feature Vectors from Phonetic Transcriptions in Cross-Linguistic Data Formats


Generating Fine-Grained Open Vocabulary Entity Type Descriptions


Generating Game Levels of Diverse Behaviour Engagement


Generating Gameplay-Relevant Art Assets with Transfer Learning


Generating Handwriting via Decoupled Style Descriptors


Generating Handwritten Chinese Characters using CycleGAN


Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification


Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models


Generating Highly Designable Proteins with Geometric Algebra Flow Matching


Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series


Generating Hypothetical Events for Abductive Inference


Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze


Generating Images of the M87* Black Hole Using GANs


Generating Images with Multimodal Language Models


Generating Interesting Song-to-Song Segues With Dave


Generating Intermediate Representations for Compositional Text-To-Image Generation


Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties


Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models


Generating Label Cohesive and Well-Formed Adversarial Claims


Generating Language Corrections for Teaching Physical Control Tasks


Generating Large-Scale Trajectories Efficiently using Double Descriptions of Polynomials


Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark


Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework


Generating Likely Counterfactuals Using Sum-Product Networks


Generating Linear, Semidefinite, and Second-order Cone Optimization Problems for Numerical Experiments


Generating Long Semantic IDs in Parallel for Recommendation


Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding


Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement


Generating MCMC proposals by randomly rotating the regular simplex


Generating MIMO Channels For 6G Virtual Worlds Using Ray-tracing Simulations


Generating Medical Prescriptions with Conditional Transformer


Generating Memorable Mnemonic Encodings of Numbers


Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach


Generating Minimum Free Energy Paths With Denoising Diffusion Probabilistic Models


Generating Multi-Center Classifier via Conditional Gaussian Distribution


Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network


Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization


Generating Multivariate Load States Using a Conditional Variational Autoencoder


Generating Music with a Self-Correcting Non-Chronological Autoregressive Model


Generating Narrative Text in a Switching Dynamical System


Generating Natural Language Attacks in a Hard Label Black Box Setting


Generating Natural Language Proofs with Verifier-Guided Search


Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation


Generating Networks to Target Assortativity via Archimedean Copula Graphons


Generating Non-Stationary Textures using Self-Rectification


Generating Novel Brain Morphology by Deforming Learned Templates


Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds


Generating OWA weights using truncated distributions


Generating Origin-Destination Matrices in Neural Spatial Interaction Models


Generating Parametric BRDFs from Natural Language Descriptions


Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models


Generating Person Images with Appearance-aware Pose Stylizer


Generating Persona Consistent Dialogues by Exploiting Natural Language Inference


Generating Personalized Recipes from Historical User Preferences


Generating Philosophical Statements using Interpolated Markov Models and Dynamic Templates


Generating Physically Stable and Buildable LEGO Designs from Text


Generating Physically-Consistent Satellite Imagery for Climate Visualizations


Generating Piano Practice Policy with a Gaussian Process


Generating Positive Bounding Boxes for Balanced Training of Object Detectors


Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion


Generating Pragmatic Examples to Train Neural Program Synthesizers


Generating Private Synthetic Data with Genetic Algorithms


Generating Probabilistic Safety Guarantees for Neural Network Controllers


Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules


Generating Query Focused Summaries from Query-Free Resources


Generating Question Titles for Stack Overflow from Mined Code Snippets


Generating Radiology Reports via Memory-driven Transformer


Generating Random Earthquake Events for PTHA


Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models


Generating Realistic Forehead-Creases for User Verification via Conditioned Piecewise Polynomial Curves


Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations


Generating Reliable Process Event Streams and Time Series Data based on Neural Networks


Generating Repetitions with Appropriate Repeated Words


Generating Robust Adversarial Examples against Online Social Networks (OSNs)


Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning


Generating Sense Embeddings for Syntactic and Semantic Analogy for Portuguese


Generating Sentences from Disentangled Syntactic and Semantic Spaces


Generating Sentiment Lexicons for German Twitter


Generating Smooth Pose Sequences for Diverse Human Motion Prediction


Generating Software for Well-Understood Domains


Generating Sparse Counterfactual Explanations For Multivariate Time Series


Generating Summaries with Topic Templates and Structured Convolutional Decoders


Generating Survival Interpretable Trajectories and Data


Generating Symbolic Reasoning Problems with Transformer GANs


Generating Symbolic World Models via Test-time Scaling of Large Language Models


Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs


Generating Synthetic Data with Locally Estimated Distributions for Disclosure Control


Generating Synthetic Documents for Cross-Encoder Re-Rankers: A Comparative Study of ChatGPT and Human Experts


Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling


Generating Synthetic Functional Data for Privacy-Preserving GPS Trajectories


Generating Synthetic Genotypes using Diffusion Models


Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs


Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection


Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications


Generating Synthetic Speech from SpokenVocab for Speech Translation


Generating Synthetic Systems of Interdependent Critical Infrastructure Networks


Generating Tables from the Parametric Knowledge of Language Models


Generating Text Sequence Images for Recognition


Generating Text from Uniform Meaning Representation


Generating Text through Adversarial Training using Skip-Thought Vectors


Generating Textual Adversaries with Minimal Perturbation


Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels


Generating Timelines by Modeling Semantic Change


Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner


Generating Training Data with Language Models: Towards Zero-Shot Language Understanding


Generating Triangulations and Fibrations with Reinforcement Learning


Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression


Generating Universal Adversarial Perturbations for Quantum Classifiers


Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems


Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces


Generating Witness of Non-Bisimilarity for the pi-Calculus


Generating X-ray transit profiles with batman


Generating Zero-shot Abstractive Explanations for Rumour Verification


Generating a Doppelganger Graph: Resembling but Distinct


Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks


Generating a Structured Summary of Numerous Academic Papers: Dataset and Method


Generating abstractive summaries of Lithuanian news articles using a transformer model


Generating and Customizing Robotic Arm Trajectories using Neural Networks


Generating and Sampling Orbits for Lifted Probabilistic Inference


Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning


Generating artificial digital image correlation data using physics-guided adversarial networks


Generating bilingual example sentences with large language models as lexicography assistants


Generating collective counterfactual explanations in score-based classification via mathematical optimization


Generating constrained run-and-tumble trajectories


Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions


Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM


Generating discrete-time constrained random walks and Lévy flights


Generating event descriptions under syntactic and semantic constraints


Generating fine-grained surrogate temporal networks


Generating function for projected entangled-pair states


Generating gender-ambiguous voices for privacy-preserving speech recognition


Generating grid maps via the snake model


Generating heterogeneous data on gene trees


Generating induction principles and subterm relations for inductive types using MetaCoq


Generating large scale-free networks with the Chung-Lu random graph model


Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)


Generating music with sentiment using Transformer-GANs


Generating natural images with direct Patch Distributions Matching


Generating novel experimental hypotheses from language models: A case study on cross-dative generalization


Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic model


Generating realistic synthetic meteoroid orbits


Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation


Generating social networks with static and dynamic utility-maximization approaches


Generating surrogate temporal networks from mesoscale building blocks


Generating symbolic music using diffusion models


Generating synthetic data for neural operators


Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy


Generating tabular datasets under differential privacy


Generating the Cloud Motion Winds Field from Satellite Cloud Imagery Using Deep Learning Approach


Generating the Ground Truth: Synthetic Data for Soft Label and Label Noise Research


Generating the Traces You Need: A Conditional Generative Model for Process Mining Data


Generating the support with extreme value losses


Generating valid Euclidean distance matrices


Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models


Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations


Generating, from scratch, the near-field asymptotic forms of scalar resistance functions for two unequal rigid spheres in low Reynolds number flow


Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding


Generation and Comprehension of Unambiguous Object Descriptions


Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs


Generation and analysis of networks with a prescribed degree sequence and subgraph family: Higher-order structure matters


Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial Networks


Generation of GelSight Tactile Images for Sim2Real Learning


Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints


Generation of High Dynamic Range Illumination from a Single Image for the Enhancement of Undesirably Illuminated Images


Generation of Highlights from Research Papers Using Pointer-Generator Networks and SciBERT Embeddings


Generation of Indoor Open Street Maps for Robot Navigation from CAD Files


Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks


Generation of THz radiation through molecular modulation in hydrogen-filled hybrid anti-resonant fibers


Generation of Training Data from HD Maps in the Lanelet2 Framework


Generation of Tree-Child phylogenetic networks


Generation of TypeScript Declaration Files from JavaScript Code


Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network


Generation of finite groups with cyclic Sylow subgroups


Generation of genuine all-way entanglement in defect-nuclear spin systems through dynamical decoupling sequences


Generation of microbial colonies dataset with deep learning style transfer


Generation of non-stationary stochastic fields using Generative Adversarial Networks


Generation of orchard and tree-child networks


Generation of point sets by convex optimization for interpolation in reproducing kernel Hilbert spaces


Generation of realistic input parameters for simulating atmospheric point-spread functions at astronomical observatories


Generation of scale-free assortative networks via Newman rewiring for simulation of diffusion phenomena


Generation of tubular and membranous shape textures with curvature functionals


Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM


GenerationMania: Learning to Semantically Choreograph


GenerationPrograms: Fine-grained Attribution with Executable Programs


Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing


Generative AI Act II: Test Time Scaling Drives Cognition Engineering


Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes


Generative AI Enhanced Financial Risk Management Information Retrieval


Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle


Generative AI Voting: Fair Collective Choice is Resilient to LLM Biases and Inconsistencies


Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis


Generative AI for Autonomous Driving: Frontiers and Opportunities


Generative AI for Banks: Benchmarks and Algorithms for Synthetic Financial Transaction Data


Generative AI for Cel-Animation: A Survey


Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions


Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study


Generative AI for Medical Imaging: extending the MONAI Framework


Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventions


Generative AI for Rapid Diffusion MRI with Improved Image Quality, Reliability and Generalizability


Generative AI for Test Driven Development: Preliminary Results


Generative AI for Urban Planning: Synthesizing Satellite Imagery via Diffusion Models


Generative AI for Validating Physics Laws


Generative AI for fast and accurate statistical computation of fluids


Generative AI to Generate Test Data Generators


Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks


Generative Active Learning for Image Synthesis Personalization


Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward Model


Generative Adversarial Graph Convolutional Networks for Human Action Synthesis


Generative Adversarial Minority Oversampling


Generative Adversarial Model-Based Optimization via Source Critic Regularization


Generative Adversarial Nets for Multiple Text Corpora


Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective


Generative Adversarial Network for Future Hand Segmentation from Egocentric Video


Generative Adversarial Network for Handwritten Text


Generative Adversarial Network in Medical Imaging: A Review


Generative Adversarial Networks as Variational Training of Energy Based Models


Generative Adversarial Networks based Skin Lesion Segmentation


Generative Adversarial Networks for Astronomical Images Generation


Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware


Generative Adversarial Networks for Robust Cryo-EM Image Denoising


Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech


Generative Adversarial Networks for photo to Hayao Miyazaki style cartoons


Generative Adversarial Neuroevolution for Control Behaviour Imitation


Generative Adversarial Reduced Order Modelling


Generative Adversarial Registration for Improved Conditional Deformable Templates


Generative Adversarial Shaders for Real-Time Realism Enhancement


Generative Adversarial Source Separation


Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation


Generative Adversarial Symmetry Discovery


Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition


Generative Adversarial User Model for Reinforcement Learning Based Recommendation System


Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval


Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs


Generative Aging of Brain Images with Diffeomorphic Registration


Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models


Generative Artificial Intelligence (GAI) for Mobile Communications: A Diffusion Model Perspective


Generative Artificial Intelligence Meets Synthetic Aperture Radar: A Survey


Generative Artificial Intelligence for Navigating Synthesizable Chemical Space


Generative Artificial Intelligence in Robotic Manipulation: A Survey


Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure


Generative Auto-Bidding with Value-Guided Explorations


Generative Autoencoding of Dropout Patterns


Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction


Generative Benchmark Creation for Table Union Search


Generative Bias for Robust Visual Question Answering


Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning


Generative Calibration for In-context Learning


Generative Category-Level Shape and Pose Estimation with Semantic Primitives


Generative Coarse-Graining of Molecular Conformations


Generative Collaborative Networks for Single Image Super-Resolution


Generative Colorization of Structured Mobile Web Pages


Generative Conditional Distributions by Neural (Entropic) Optimal Transport


Generative Contrastive Graph Learning for Recommendation


Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales


Generative Data Augmentation for Commonsense Reasoning


Generative Dataset Distillation Based on Diffusion Model


Generative De Novo Protein Design with Global Context


Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers


Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense Prediction


Generative Dense Retrieval: Memory Can Be a Burden


Generative Diffusion Model Bootstraps Zero-shot Classification of Fetal Ultrasound Images In Underrepresented African Populations


Generative Diffusion Models on Graphs: Methods and Applications


Generative Diffusion Receivers: Achieving Pilot-Efficient MIMO-OFDM Communications


Generative Disco: Text-to-Video Generation for Music Visualization


Generative Dual Adversarial Network for Generalized Zero-shot Learning


Generative Enhancement for 3D Medical Images


Generative Entity Typing with Curriculum Learning


Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation


Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates


Generative Evaluation of Complex Reasoning in Large Language Models


Generative Expressive Conversational Speech Synthesis


Generative Face Video Coding Techniques and Standardization Efforts: A Review


Generative Feature Replay For Class-Incremental Learning


Generative Feature Training of Thin 2-Layer Networks


Generative Flow Network for Listwise Recommendation


Generative Flow Networks as Entropy-Regularized RL


Generative Flows as a General Purpose Solution for Inverse Problems


Generative Flows with Matrix Exponential


Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge


Generative Graph Neural Networks for Link Prediction


Generative Hypergraph Models and Spectral Embedding


Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning


Generative Image Translation for Data Augmentation in Colorectal Histopathology Images


Generative Imputation and Stochastic Prediction


Generative Inbetweening through Frame-wise Conditions-Driven Video Generation


Generative Interventions for Causal Learning


Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning


Generative Invertible Quantum Neural Networks


Generative Iris Prior Embedded Transformer for Iris Restoration


Generative Judge for Evaluating Alignment


Generative Knowledge Graph Construction: A Review


Generative Knowledge Selection for Knowledge-Grounded Dialogues


Generative Language Models on Nucleotide Sequences of Human Genes


Generative Latent Implicit Conditional Optimization when Learning from Small Sample


Generative Latent Kernel Modeling for Blind Motion Deblurring


Generative Layout Modeling using Constraint Graphs


Generative Learning for Simulation of Vehicle Faults


Generative Low-bitwidth Data Free Quantization


Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow


Generative Market Equilibrium Models with Stable Adversarial Learning via Reinforcement


Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More


Generative Medical Image Anonymization Based on Latent Code Projection and Optimization


Generative Model with Dynamic Linear Flow


Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection


Generative Model-based Feature Knowledge Distillation for Action Recognition


Generative Modeling Helps Weak Supervision (and Vice Versa)


Generative Modeling and Data Augmentation for Power System Production Simulation


Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection


Generative Modeling for Mathematical Discovery


Generative Modeling in Structural-Hankel Domain for Color Image Inpainting


Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings


Generative Modeling of Microweather Wind Velocities for Urban Air Mobility


Generative Modeling of Molecular Dynamics Trajectories


Generative Modeling of Multimodal Multi-Human Behavior


Generative Modeling of Random Fields from Limited Data via Constrained Latent Flow Matching


Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs


Generative Modeling of Weights: Generalization or Memorization?


Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes


Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport


Generative Modeling using the Sliced Wasserstein Distance


Generative Modeling with Explicit Memory


Generative Modeling with Optimal Transport Maps


Generative Modeling with Phase Stochastic Bridges


Generative Modelling With Inverse Heat Dissipation


Generative Modelling of 3D in-silico Spongiosa with Controllable Micro-Structural Parameters


Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning


Generative Modelling of Structurally Constrained Graphs


Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data


Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study


Generative Models and Learning Algorithms for Core-Periphery Structured Graphs


Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy


Generative Models as Distributions of Functions


Generative Models as a Data Source for Multiview Representation Learning


Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider


Generative Models for Long Time Series: Approximately Equivariant Recurrent Network Structures for an Adjusted Training Scheme


Generative Models for Low-Rank Video Representation and Reconstruction


Generative Models for Periodicity Detection in Noisy Signals


Generative Models from the perspective of Continual Learning


Generative Models: An Interdisciplinary Perspective


Generative Monoculture in Large Language Models


Generative Multi-Label Zero-Shot Learning


Generative Multiplane Images: Making a 2D GAN 3D-Aware


Generative Multiplane Neural Radiance for 3D-Aware Image Generation


Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior


Generative ODE Modeling with Known Unknowns


Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion Model


Generative Occupancy Fields for 3D Surface-Aware Image Synthesis


Generative Patch Priors for Practical Compressive Image Recovery


Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution


Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning


Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving


Generative Plant Growth Simulation from Sequence-Informed Environmental Conditions


Generative Plug and Play: Posterior Sampling for Inverse Problems


Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification


Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Novel Proteins


Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition


Generative Pretrained Hierarchical Transformer for Time Series Forecasting


Generative Pretraining for Black-Box Optimization


Generative Principal Component Regression via Variational Inference


Generative Priors for MRI Reconstruction Trained from Magnitude-Only Images Using Phase Augmentation


Generative Probabilistic Novelty Detection with Adversarial Autoencoders


Generative Prompt Model for Weakly Supervised Object Localization


Generative Prompt Tuning for Relation Classification


Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System


Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data


Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning


Generative Recommendation: Towards Next-generation Recommender Paradigm


Generative Region-Language Pretraining for Open-Ended Object Detection


Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023


Generative Representational Instruction Tuning


Generative Retrieval as Multi-Vector Dense Retrieval


Generative Retrieval via Term Set Generation


Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning


Generative Semantic Communication: Diffusion Models Beyond Bit Recovery


Generative Semi-supervised Graph Anomaly Detection


Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of Concept


Generative Sliced MMD Flows with Riesz Kernels


Generative Social Choice: The Next Generation


Generative Sparse Detection Networks for 3D Single-shot Object Detection


Generative Spoken Language Modeling from Raw Audio


Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa


Generative Subgraph Contrast for Self-Supervised Graph Representation Learning


Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation


Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data


Generative Table Pre-training Empowers Models for Tabular Prediction


Generative Text Modeling through Short Run Inference


Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray Images


Generative View Synthesis: From Single-view Semantics to Novel-view Images


Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models


Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds


Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting


Generative adversarial networks vs large language models: a comparative study on synthetic tabular data generation


Generative adversarial networks with physical sound field priors


Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia


Generative agents in the streets: Exploring the use of Large Language Models (LLMs) in collecting urban perceptions


Generative and Discriminative Voxel Modeling with Convolutional Neural Networks


Generative and Explainable AI for High-Dimensional Channel Estimation


Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers


Generative approach to unsupervised deep local learning


Generative augmentations for improved cardiac ultrasound segmentation using diffusion models


Generative causal explanations of black-box classifiers


Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model


Generative deep fields: arbitrarily sized, random synthetic astronomical images through deep learning


Generative diffusion model with inverse renormalization group flows


Generative downscaling of PDE solvers with physics-guided diffusion models


Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model


Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motion


Generative machine learning methods for multivariate ensemble post-processing


Generative model for financial time series trained with MMD using a signature kernel


Generative model for reciprocity and community detection in networks


Generative modeling of nucleon-nucleon interactions


Generative modeling, design and analysis of spider silk protein sequences for enhanced mechanical properties


Generative modelling with jump-diffusions


Generative models uncertainty estimation


Generative networks as inverse problems with Scattering transforms


Generative neural networks for characteristic functions


Generative power of a protein language model trained on multiple sequence alignments


Generative quantum machine learning via denoising diffusion probabilistic models


Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics


Generative time series models using Neural ODE in Variational Autoencoders


Generative weather for improved crop model simulations


Generative-Contrastive Heterogeneous Graph Neural Network


Generator Knows What Discriminator Should Learn in Unconditional GANs


Generator Matrices by Solving Integer Linear Programs


Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent


Generator-Guided Crowd Reaction Assessment


Generator-Retriever-Generator Approach for Open-Domain Question Answering


Generic 3D Representation via Pose Estimation and Matching


Generic Anomalous Vertices Detection Utilizing a Link Prediction Algorithm


Generic Approach to Visualization of Time Series Data


Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers


Generic Dependency Modeling for Multi-Party Conversation


Generic Diagonalizability, Structural Functional Observability and Output Controllability


Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)


Generic Event Boundary Detection in Video with Pyramid Features


Generic Go to Go: Dictionary-Passing, Monomorphisation, and Hybrid


Generic Inference in Latent Gaussian Process Models


Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes


Generic Itemset Mining Based on Reinforcement Learning


Generic Level Polymorphic N-ary Functions


Generic Neural Architecture Search via Regression


Generic Structural Stability for $2 \times 2$ Systems of Hyperbolic Conservation Laws


Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables


Generic algorithms for scheduling applications on heterogeneous multi-core platforms


Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis


Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems


Generic eigenstructures of Hermitian pencils


Generic families of finite metric spaces with identical or trivial 1-dimensional persistence


Generic models for genus 2 curves with real multiplication


Generic resources are what you need: Style transfer tasks without task-specific parallel training data


Generic-to-Specific Distillation of Masked Autoencoders


Generically Automating Separation Logic by Functors, Homomorphisms and Modules


Generics are puzzling. Can language models find the missing piece?


Genesis-Metallicity: Universal Non-Parametric Gas-Phase Metallicity Estimation


Genesis: A Compiler Framework for Hamiltonian Simulation on Hybrid CV-DV Quantum Computers


Genetic Algorithm for the 0/1 Multidimensional Knapsack Problem


Genetic Algorithm for the Weight Maximization Problem on Weighted Automata


Genetic Algorithm with Innovative Chromosome Patterns in the Breeding Process


Genetic Algorithms for Evolution of QWOP Gaits


Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems


Genetic Analysis of Prostate Cancer with Computer Science Methods


Genetic Approach to Mitigate Hallucination in Generative IR


Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning


Genetic Improvement of Routing Protocols for Delay Tolerant Networks


Genetic Learning for Designing Sim-to-Real Data Augmentations


Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network


Genetic Micro-Programs for Automated Software Testing with Large Path Coverage


Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation


Genetic Programming for Explainable Manifold Learning


Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers


Genetic algorithm formulation and tuning with use of test functions


Genetic studies through the lens of gene networks


Genetic-based fog colony optimization hybridized with hierarchical clustering and its influence in the placement of fog services


Genetic-tunneling driven energy optimizer for spin systems


Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research


Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator


GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models


GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization


Genome-on-Diet: Taming Large-Scale Genomic Analyses via Sparsified Genomics


Genome-wide nucleotide-resolution model of single-strand break site reveals species evolutionary hierarchy


Genomic Data Analysis using a Two Stage Expectation Propagation Algorithm for Analysis of Sparse Bayesian High-Dimensional Instrumental Variables Regression


Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer


Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction


Genoogle: an indexed and parallelized search engine for similar DNA sequences


Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction


Genre as Weak Supervision for Cross-lingual Dependency Parsing


Gentlest ascent dynamics on manifolds defined by adaptively sampled point-clouds


Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal


Genuine Retrieval of the AGN Host Stellar Population (GRAHSP)


Genus $0$ Modular curves of prime power level with a point defined over number fields other than $\Q$


Genus Comparisons in the Topological Analysis of RNA Structures


Genus Drop in Hyperelliptic Feynman Integrals


GenéLive! Generating Rhythm Actions in Love Live!


Geo-Aware Networks for Fine-Grained Recognition


Geo-Disasters: geocoding climate-related events in the international disaster database EM-DAT


Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking


Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models


Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints


Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval


Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection


Geo-Spatial Data Visualization and Critical Metrics Predictions for Canadian Elections


Geo2ComMap: Deep Learning-Based MIMO Throughput Prediction Using Geographic Data


Geo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases


Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction


GeoAdjust: Adjusting for Positional Uncertainty in Geostatistial Analysis of DHS Data


GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds


GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection


GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models


GeoBenchX: Benchmarking LLMs for Multistep Geospatial Tasks


GeoBroker: Leveraging Geo-Contexts for IoT Data Distribution


GeoCalib: Learning Single-image Calibration with Geometric Optimization


GeoChat: Grounded Large Vision-Language Model for Remote Sensing


GeoContrastNet: Contrastive Key-Value Edge Learning for Language-Agnostic Document Understanding


GeoDA: a geometric framework for black-box adversarial attacks


GeoDEN: A Visual Exploration Tool for Analysing the Geographic Spread of Dengue Serotypes


GeoDTR+: Toward generic cross-view geolocalization via geometric disentanglement


GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation


GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization


GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control


GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds


GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving


GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation


GeoFF: Federated Serverless Workflows with Data Pre-Fetching


GeoFlow-SLAM: A Robust Tightly-Coupled RGBD-Inertial Fusion SLAM for Dynamic Legged Robotics


GeoFormer: A Multi-Polygon Segmentation Transformer


GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer


GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation


GeoGalactica: A Scientific Large Language Model in Geoscience


GeoGraphViz: Geographically Constrained 3D Force-Directed Graph for Knowledge Graph Visualization


GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?


GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding


GeoGuide: Geometric guidance of diffusion models


GeoJEPA: Towards Eliminating Augmentation- and Sampling Bias in Multimodal Geospatial Learning


GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution


GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing


GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding


GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation


GeoLab: Geometry-based Tractography Parcellation of Superficial White Matter


GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation Models


GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training


GeoMFormer: A General Architecture for Geometric Molecular Representation Learning


GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding


GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models


GeoMeter: Probing Depth and Height Perception of Large Visual-Language Models


GeoMix: Towards Geometry-Aware Data Augmentation


GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles


GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates


GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant


GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies


GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing


GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy


GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping


GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning


GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model


GeoSACS: Geometric Shared Autonomy via Canal Surfaces


GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation


GeoSP: A parallel method for a cortical surface parcellation based on geodesic distance


GeoSPM: Geostatistical parametric mapping for medicine


GeoSegNet: Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling


GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis


GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning


GeoT: Geometry-guided Instance-dependent Transition Matrix for Semi-supervised Tooth Point Cloud Segmentation


GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU


GeoTextTagger: High-Precision Location Tagging of Textual Documents using a Natural Language Processing Approach


GeoThermalCloud: Machine Learning for Geothermal Resource Exploration


GeoTyper: Automated Pipeline from Raw scRNA-Seq Data to Cell Type Identification


GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation


GeoUni: A Unified Model for Generating Geometry Diagrams, Problems and Problem Solutions


GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching


GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation


GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models


GeoViz: A Multi-View Visualization Platform for Spatio-temporal Knowledge Graph


GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval


GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training


Geoclidean: Few-Shot Generalization in Euclidean Geometry


Geodesic Density Regression for Correcting 4DCT Pulmonary Respiratory Motion Artifacts


Geodesic Diffusion Models for Medical Image-to-Image Generation


Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset


Geodesic Graph Neural Network for Efficient Graph Representation Learning


Geodesic Multi-Modal Mixup for Robust Fine-Tuning


Geodesic Regression Characterizes 3D Shape Changes in the Female Brain During Menstruation


Geodesic Tracking via New Data-driven Connections of Cartan Type for Vascular Tree Tracking


Geodesic curves in Gaussian random field manifolds


Geodesic cycle length distributions in fictional character networks


Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter


Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions


Geodesy of irregular small bodies via neural density fields: geodesyNets


Geographic Adaptation of Pretrained Language Models


Geographic Citation Gaps in NLP Research


Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover Mapping


Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation


Geographical Erasure in Language Generation


Geographical Knowledge-driven Representation Learning for Remote Sensing Images


Geohyperbolic Routing and Addressing Schemes


Geolocating Earth Imagery from ISS: Integrating Machine Learning with Astronaut Photography for Enhanced Geographic Mapping


Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding


Geolog: Scalable Logic Programming on Spatial Data