Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching


Fuzzy Mutation Embedded Hybrids of Gravitational Search and Particle Swarm Optimization Methods for Engineering Design Problems


Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff


Fuzzy c-Means Clustering for Persistence Diagrams


Fuzzy clustering for the within-season estimation of cotton phenology


Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise


FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction


FwNet-ECA: Facilitating Window Attention with Global Receptive Fields through Fourier Filtering Operations


FwdLLM: Efficient FedLLM using Forward Gradient


Física Estadística: teoría, ejemplos trabajados, modelos y simulaciones


Fùxì: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and Generation


G$ \mathbf{^2} $VD Planner: Efficient Motion Planning With Grid-based Generalized Voronoi Diagrams


G$^{2}$D: Boosting Multimodal Learning with Gradient-Guided Distillation


G-Adaptivity: optimised graph-based mesh relocation for finite element methods


G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation


G-CREWE: Graph CompREssion With Embedding for Network Alignment


G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation


G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment


G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping


G-Fuzz: A Directed Fuzzing Framework for gVisor


G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences


G-Mapper: Learning a Cover in the Mapper Construction


G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems


G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection


G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images


G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generation


G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators


G-PCGRL: Procedural Graph Data Generation via Reinforcement Learning


G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System


G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P Network


G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation


G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering


G-SPEED: General SParse Efficient Editing MoDel


G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German


G-Transformer for Conditional Average Potential Outcome Estimation over Time


G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o


G-VOILA: Gaze-Facilitated Information Querying in Daily Scenarios


G-VOM: A GPU Accelerated Voxel Off-Road Mapping System


G-formula for causal inference via multiple imputation


G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations


G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning


G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X Data


G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training


G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors


G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features


G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models


G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models


G3AN: Disentangling Appearance and Motion for Video Generation


G3DR: Generative 3D Reconstruction in ImageNet


G3Reg: Pyramid Graph-based Global Registration using Gaussian Ellipsoid Model


G4CASCADE: A data-driven implementation of (n, $γ$) cascades in Geant4


G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks


GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading


GA-S$^3$: Comprehensive Social Network Simulation with Group Agents


GA-Sketching: Shape Modeling from Multi-View Sketching with Geometry-Aligned Deep Implicit Functions


GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting


GA-Unity: A Production-Ready Unity Package for Seamless Integration of Geometric Algebra in Networked Collaborative Applications


GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection


GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm


GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark


GABIC: Graph-based Attention Block for Image Compression


GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models


GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks


GACE: Geometry Aware Confidence Enhancement for Black-Box 3D Object Detectors on LiDAR-Data


GACL: Exemplar-Free Generalized Analytic Continual Learning


GACT: Activation Compressed Training for Generic Network Architectures


GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction


GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection


GADGET SVM: A Gossip-bAseD sub-GradiEnT Solver for Linear SVMs


GADformer: A Transparent Transformer Model for Group Anomaly Detection on Trajectories


GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages


GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning


GAFAR: Graph-Attention Feature-Augmentation for Registration A Fast and Light-weight Point Set Registration Algorithm


GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation


GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration


GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis


GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection


GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning


GAIT-prop: A biologically plausible learning rule derived from backpropagation of error


GAIT: A Geometric Approach to Information Theory


GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation


GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations


GALA-n: Generic Architecture of Layout-Aware n-Bit Quantum Operators for Cost-Effective Realization on IBM Quantum Computers


GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation


GALARIO: a GPU Accelerated Library for Analysing Radio Interferometer Observations


GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection


GALAXY: Graph-based Active Learning at the Extreme


GALD-SE: Guided Anisotropic Lightweight Diffusion for Efficient Speech Enhancement


GALLIFRAY -- A geometric modeling and parameter estimation framework for black hole images using bayesian techniques


GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems


GAM : Gradient Attention Module of Optimization for Point Clouds Analysis


GAM Coach: Towards Interactive and User-centered Algorithmic Recourse


GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints


GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints


GAMA: Generative Adversarial Multi-Object Scene Attacks


GAMBAS: Generalised-Hilbert Mamba for Super-resolution of Paediatric Ultra-Low-Field MRI


GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking


GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection


GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation


GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection


GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination


GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions


GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming Content


GAMMA: A General Agent Motion Model for Autonomous Driving


GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects


GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction


GAMMA: a new method for modeling relativistic hydrodynamics and non-thermal emission on a moving mesh


GAMR: A Guided Attention Model for (visual) Reasoning


GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data


GAMesh: Guided and Augmented Meshing for Deep Point Networks


GAN Cocktail: mixing GANs without dataset access


GAN Compression: Efficient Architectures for Interactive Conditional GANs


GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation


GAN Prior based Null-Space Learning for Consistent Super-Resolution


GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection


GAN-AE : An anomaly detection algorithm for New Physics search in LHC data


GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters


GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review


GAN-Based Facial Attractiveness Enhancement


GAN-Control: Explicitly Controllable GANs


GAN-TAT: A Novel Framework Using Protein Interaction Networks in Druggable Gene Identification


GAN-based Massive MIMO Channel Model Trained on Measured Data


GAN-based Matrix Factorization for Recommender Systems


GAN-enhanced Conditional Echocardiogram Generation


GAN-supervised Seismic Data Reconstruction: An Enhanced-Learning for Improved Generalization


GANDALF - Graphical Astrophysics code for N-body Dynamics And Lagrangian Fluids


GANDALF: Gated Adaptive Network for Deep Automated Learning of Features


GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections


GANISP: a GAN-assisted Importance SPlitting Probability Estimator


GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation Baselines


GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation


GANSpace: Discovering Interpretable GAN Controls


GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning


GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System


GANalyze: Toward Visual Definitions of Cognitive Image Properties


GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis


GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments


GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models


GANet: Goal Area Network for Motion Forecasting


GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications


GANimator: Neural Motion Synthesis from a Single Sequence


GANiry: Bald-to-Hairy Translation Using CycleGAN


GANkyoku: a Generative Adversarial Network for Shakuhachi Music


GANmapper: geographical data translation


GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions


GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)


GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data


GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning


GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations


GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental image


GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs?


GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation


GAP-Gen: Guided Automatic Python Code Generation


GAP-net for Snapshot Compressive Imaging


GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation


GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation


GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization


GAPS: Generator for Automatic Polynomial Solvers


GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping


GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM


GAPX: Generalized Autoregressive Paraphrase-Identification X


GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts


GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model


GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification


GARDNet: Robust Multi-View Network for Glaucoma Classification in Color Fundus Images


GARField: Addressing the visual Sim-to-Real gap in garment manipulation with mesh-attached radiance fields


GARField: Group Anything with Radiance Fields


GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering


GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings


GARL: Genetic Algorithm-Augmented Reinforcement Learning to Detect Violations in Marker-Based Autonomous Landing Systems


GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks


GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff


GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers


GAS-NeXt: Few-Shot Cross-Lingual Font Generator


GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning


GAS: Generative Activation-Aided Asynchronous Split Federated Learning


GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance


GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based Search


GASP! Generating Abstracts of Scientific Papers from Abstracts of Cited Papers


GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs


GASP: Gated Attention For Saliency Prediction


GASP: Gaussian Splatting for Physic-Based Simulations


GASTLI: An open-source coupled interior-atmosphere model to unveil gas giant composition


GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection


GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classification


GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification


GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering


GATE: A Challenge Set for Gender-Ambiguous Translation Examples


GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis


GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks


GATE: How to Keep Out Intrusive Neighbors


GATEAU: Selecting Influential Samples for Long Context Alignment


GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy


GATES: Graph Attention Network with Global Expression Fusion for Deciphering Spatial Transcriptome Architectures


GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D Pose


GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection and Defect Detection


GATSBI: Generative Adversarial Training for Simulation-Based Inference


GATSBI: Generative Agent-centric Spatio-temporal Object Interaction


GATlab: Modeling and Programming with Generalized Algebraic Theories


GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model


GAVEL: Generating Games Via Evolution and Language Models


GAssert: A Fully Automated Tool to Improve Assertion Oracles


GAz: A Genetic Algorithm for Photometric Redshift Estimation


GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection


GBDTSVM: Combined Support Vector Machine and Gradient Boosting Decision Tree Framework for efficient snoRNA-disease association prediction


GBFRS: Robust Fuzzy Rough Sets via Granular-ball Computing


GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing


GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily


GBM-based Bregman Proximal Algorithms for Constrained Learning


GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance


GBSVM: Granular-ball Support Vector Machine


GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data


GBT: Two-stage transformer framework for non-stationary time series forecasting


GC-Bench: An Open and Unified Benchmark for Graph Condensation


GC-Flow: A Graph-Based Flow Network for Effective Clustering


GCAL: Adapting Graph Models to Evolving Domain Shifts


GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media


GCAPS: GPU Context-Aware Preemptive Priority-based Scheduling for Real-Time Tasks


GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control


GCBLANE: A graph-enhanced convolutional BiLSTM attention network for improved transcription factor binding site prediction


GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM


GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing


GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling


GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection


GCF: Graph Convolutional Networks for Facial Expression Recognition


GCFAgg: Global and Cross-view Feature Aggregation for Multi-view Clustering


GCGE: A Package for Solving Large Scale Eigenvalue Problems by Parallel Block Damping Inverse Power Method


GCI detection from raw speech using a fully-convolutional network


GCI: A (G)raph (C)oncept (I)nterpretation Framework


GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks


GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition


GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations


GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks


GCNET: graph-based prediction of stock price movement using graph convolutional network


GCNH: A Simple Method For Representation Learning On Heterophilous Graphs


GCNIDS: Graph Convolutional Network-Based Intrusion Detection System for CAN Bus


GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization


GCNSLIM: Graph Convolutional Network with Sparse Linear Methods for E-government Service Recommendation


GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation


GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction


GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge Integration


GCS-Q: Quantum Graph Coalition Structure Generation


GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning


GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation


GCT: Gated Contextual Transformer for Sequential Audio Tagging


GCVAE: Generalized-Controllable Variational AutoEncoder


GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting


GCoder: Improving Large Language Model for Generalized Graph Problem Solving


GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data


GCondenser: Benchmarking Graph Condensation


GCtx-UNet: Efficient Network for Medical Image Segmentation


GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds


GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions


GD-VDM: Generated Depth for better Diffusion-based Video Generation


GDA-AM: On the effectiveness of solving minimax optimization via Anderson Acceleration


GDB: Gated convolutions-based Document Binarization


GDC Cohort Copilot: An AI Copilot for Curating Cohorts from the Genomic Data Commons


GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learning


GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions


GDPNet: Refining Latent Multi-View Graph for Relation Extraction


GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator


GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks


GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains


GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors


GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning


GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection


GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation


GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model


GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter


GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency


GEAR-RT: Towards Exa-Scale Moment Based Radiative Transfer For Cosmological Simulations Using Task-Based Parallelism And Dynamic Sub-Cycling with SWIFT


GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models


GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution


GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification


GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval


GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding


GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations


GECTurk WEB: An Explainable Online Platform for Turkish Grammatical Error Detection and Correction


GECTurk: Grammatical Error Correction and Detection Dataset for Turkish


GEDI: Gammachirp Envelope Distortion Index for Predicting Intelligibility of Enhanced Speech


GEE! Grammar Error Explanation with Large Language Models


GEEPERs: Principal Stratification using Principal Scores and Stacked Estimating Equations


GEEvo: Game Economy Generation and Balancing with Evolutionary Algorithms


GEFA: Early Fusion Approach in Drug-Target Affinity Prediction


GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features


GEFL: Extended Filtration Learning for Graph Classification


GELDA: A generative language annotation framework to reveal visual biases in datasets


GEM: A General Evaluation Benchmark for Multimodal Tasks


GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control


GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph


GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images


GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents


GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report Evaluation


GEMA: An open-source Python library for self-organizing-maps


GEMAct: a Python package for non-life (re)insurance modeling


GEMINI: Controlling the Sentence-level Writing Style for Abstractive Text Summarization


GEMMbench: a framework for reproducible and collaborative benchmarking of matrix multiplication


GEMRec: Towards Generative Model Recommendation


GEMTrans: A General, Echocardiography-based, Multi-Level Transformer Framework for Cardiovascular Diagnosis


GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection


GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control


GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data


GENERator: A Long-Context Generative Genomic Foundation Model


GENESIS: New Self-Consistent Models of Exoplanetary Spectra


GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles


GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console


GENIE: Higher-Order Denoising Diffusion Solvers


GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments


GENNAPE: Towards Generalized Neural Architecture Performance Estimators


GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability


GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics


GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation


GEO-Bench: Toward Foundation Models for Earth Monitoring


GEO-FPT: a model of the galaxy bispectrum at mildly non-linear scales


GEO-Nav: a geometric dataset of voltage-gated sodium channels


GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks


GEOM-Drugs Revisited: Toward More Chemically Accurate Benchmarks for 3D Molecule Generation


GEOM: Energy-annotated molecular conformations for property prediction and molecular generation


GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects


GEORCE: A Fast New Control Algorithm for Computing Geodesics


GERD: Geometric event response data generation


GERE: Generative Evidence Retrieval for Fact Verification


GERNERMED -- An Open German Medical NER Model


GERNERMED++: Transfer Learning in German Medical NLP


GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering


GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022 Attempted Coup in Peru


GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling


GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images


GET: Group Event Transformer for Event-Based Vision


GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detection


GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation


GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering


GEV Beamforming Supported by DOA-based Masks Generated on Pairs of Microphones


GEVO: GPU Code Optimization using Evolutionary Computation


GEVO: Memory-Efficient Monocular Visual Odometry Using Gaussians


GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Prevalence Visualization Design Space


GEX: Democratizing Dexterity with Fully-Actuated Dexterous Hand and Exoskeleton Glove


GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI


GFET Lab: A Graphene Field-Effect Transistor TCAD Tool


GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation


GFN-SR: Symbolic Regression with Generative Flow Networks


GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation


GFPose: Learning 3D Human Pose Prior with Gradient Fields


GFRIEND: Generative Few-shot Reward Inference through EfficieNt DPO


GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid Relaxation


GFTE: Graph-based Financial Table Extraction


GFlowNet-EM for learning compositional latent variable models


GGAvatar: Reconstructing Garment-Separated 3D Gaussian Splatting Avatars from Monocular Video


GGCHEMPY: A pure Python-based gas-grain chemical code for efficient simulation of interstellar chemistry


GGL-PPI: Geometric Graph Learning to Predict Mutation-Induced Binding Free Energy Changes


GGLasso -- a Python package for General Graphical Lasso computation


GGM knockoff filter: False Discovery Rate Control for Gaussian Graphical Models


GGNN: Graph-based GPU Nearest Neighbor Search


GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines


GHIssuemarket: A Sandbox Environment for SWE-Agents Economic Experimentation


GHOST commissioning science results -- IV: Chemodynamical analyses of Milky Way satellites Sagittarius II and Aquarius II


GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation


GHuNeRF: Generalizable Human NeRF from a Monocular Video


GI-1.0: A Fast and Scalable Two-level Radiance Caching Scheme for Real-time Global Illumination


GI-PIP: Do We Require Impractical Auxiliary Dataset for Gradient Inversion Attacks?


GIANT: Scalable Creation of a Web-scale Ontology


GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021


GIBBONFINDR: An R package for the detection and classification of acoustic signals


GICI-LIB: A GNSS/INS/Camera Integrated Navigation Library


GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing


GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models


GIF: A General Graph Unlearning Strategy via Influence Function


GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization


GIFS: Neural Implicit Function for General Shape Representation


GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation


GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs


GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers


GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction


GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost


GIGA-Lens: Fast Bayesian Inference for Strong Gravitational Lens Modeling


GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and Attention


GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization


GIM: Learning Generalizable Image Matcher From Internet Videos


GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning


GIMO: Gaze-Informed Human Motion Prediction in Context


GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network


GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving


GINGER: Grounded Information Nugget-Based Generation of Responses


GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations


GINN: Geometric Illustration of Neural Networks


GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method


GINopic: Topic Modeling with Graph Isomorphism Network


GIO: Gradient Information Optimization for Training Dataset Selection


GIPA: General Information Propagation Algorithm for Graph Learning


GIPC: Fast and stable Gauss-Newton optimization of IPC barrier energy


GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning


GIPFA: Generating IPA Pronunciation from Audio


GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation


GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization


GIRA: Gaussian Mixture Models for Inference and Robot Autonomy


GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation


GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models


GIRNet: Interleaved Multi-Task Recurrent State Sequence Models


GIRT-Data: Sampling GitHub Issue Report Templates


GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis


GIST: Generated Inputs Sets Transferability in Deep Learning


GIST: Generating Image-Specific Text for Fine-grained Object Classification


GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction


GIT: A Generative Image-to-text Transformer for Vision and Language


GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning


GIVEPose: Gradual Intra-class Variation Elimination for RGB-based Category-Level Object Pose Estimation


GJ 229B: Solving the Puzzle of the First Known T-Dwarf with the APOLLO Retrieval Code


GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition


GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative Spacecraft


GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment


GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarchy for AMG solvers


GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation


GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling


GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection


GL-TSVM: A robust and smooth twin support vector machine with guardian loss function


GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series


GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video


GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation


GLACE: Global Local Accelerated Coordinate Encoding


GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Imaging Studies


GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection


GLAD: Improving Latent Graph Generative Modeling with Simple Quantization


GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection


GLADIS: A General and Large Acronym Disambiguation Benchmark


GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model


GLAMI-1M: A Multilingual Image-Text Fashion Dataset


GLAMOUR: Graph Learning over Macromolecule Representations


GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras


GLAP: General contrastive audio-text pretraining across domains and languages


GLARE: A Dataset for Traffic Sign Detection in Sun Glare


GLARE: Google Apps Arabic Reviews Dataset


GLARE: Guided LexRank for Advanced Retrieval in Legal Analysis


GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval


GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning


GLASS: Generator for Large Scale Structure


GLASS: Towards Secure and Decentralized eGovernance Services using IPFS


GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data


GLAudio Listens to the Sound of the Graph


GLBench: A Comprehensive Benchmark for Graph with Large Language Models


GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection


GLEAM: Galaxy Line Emission & Absorption Modeling


GLEAMS: Bridging the Gap Between Local and Global Explanations


GLEAN: Generalized Category Discovery with Diverse and Quality-Enhanced LLM Feedback


GLEE: A Unified Framework and Benchmark for Language-based Economic Environments


GLEE: Geometric Laplacian Eigenmap Embedding


GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection


GLEN: General-Purpose Event Detection for Thousands of Types


GLEN: Generative Retrieval via Lexical Index Learning


GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation


GLF-CR: SAR-Enhanced Cloud Removal with Global-Local Fusion


GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT


GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection


GLGE: A New General Language Generation Evaluation Benchmark


GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras


GLGait: A Global-Local Temporal Receptive Field Network for Gait Recognition in the Wild


GLIB: Towards Automated Test Oracle for Graphically-Rich Applications


GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models


GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks


GLIM: 3D Range-Inertial Localization and Mapping with GPU-Accelerated Scan Matching Factors


GLIME: General, Stable and Local LIME Explanation


GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization


GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews


GLIN: A (G)eneric (L)earned (In)dexing Mechanism for Complex Geometries


GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning


GLL-based Context-Free Path Querying for Neo4j


GLM for partially pooled categorical predictors with a case study in biosecurity


GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning


GLOBALEMU: A novel and robust approach for emulating the sky-averaged 21-cm signal from the cosmic dawn and epoch of reionisation


GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization


GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER


GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time


GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution


GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models


GLOW : Global Weighted Self-Attention Network for Web Search


GLPanoDepth: Global-to-Local Panoramic Depth Estimation


GLSD: The Global Large-Scale Ship Database and Baseline Evaluations


GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos


GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation


GLStyleNet: Higher Quality Style Transfer Combining Global and Local Pyramid Features


GLUCOSE: GeneraLized and COntextualized Story Explanations


GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective


GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes


GLaMM: Pixel Grounding Large Multimodal Model


GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition


GLeaD: Improving GANs with A Generator-Leading Task


GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds


GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition


GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation


GLiT: Neural Architecture Search for Global and Local Image Transformer


GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent


GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation


GLoRE: Evaluating Logical Reasoning of Large Language Models


GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation


GLoW: novel methods for wave-optics phenomena in gravitational lensing


GLow -- A Novel, Flower-Based Simulated Gossip Learning Strategy


GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs


GM-DF: Generalized Multi-Scenario Deepfake Detection


GM-TOuNN: Graded Multiscale Topology Optimization using Neural Networks


GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene Flow


GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI


GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI


GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning


GMAT: Global Memory Augmentation for Transformers


GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection


GMLight: Lighting Estimation via Geometric Distribution Approximation


GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation


GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling


GMMCalib: Extrinsic Calibration of LiDAR Sensors using GMM-based Joint Registration


GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval


GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval


GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models


GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model


GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing


GMOT-40: A Benchmark for Generic Multiple Object Tracking


GMPC: Geometric Model Predictive Control for Wheeled Mobile Robot Trajectory Tracking


GMR-Conv: An Efficient Rotation and Reflection Equivariant Convolution Kernel Using Gaussian Mixture Rings


GMRT unveils steep-spectrum antique filaments in the galaxy cluster Abell 725


GMS-3DQA: Projection-based Grid Mini-patch Sampling for 3D Model Quality Assessment


GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation


GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition


GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer


GMT: Guided Mask Transformer for Leaf Instance Segmentation


GNBG-Generated Test Suite for Box-Constrained Numerical Global Optimization


GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields


GNM: A General Navigation Model to Drive Any Robot


GNMR: A provable one-line algorithm for low rank matrix recovery


GNN 101: Visual Learning of Graph Neural Networks in Your Web Browser


GNN Transformation Framework for Improving Efficiency and Scalability


GNN's Uncertainty Quantification using Self-Distillation


GNN-Based Candidate Node Predictor for Influence Maximization in Temporal Graphs


GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments


GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network


GNN-LM: Language Modeling based on Global Contexts via GNN


GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection


GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker without Bells and Whistles


GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning


GNN-SL: Sequence Labeling Based on Nearest Examples via GNN


GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics


GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations


GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning


GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks


GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs


GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation


GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs


GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization


GNNDelete: A General Strategy for Unlearning in Graph Neural Networks


GNNGuard: Defending Graph Neural Networks against Adversarial Attacks


GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks


GNNMerge: Merging of GNN Models Without Accessing Training Data


GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks


GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware


GNNShap: Scalable and Accurate GNN Explanation using Shapley Values


GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking


GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking


GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network


GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring


GNNs as Predictors of Agentic Workflow Performances


GNRK: Graph Neural Runge-Kutta method for solving partial differential equations


GNSS Spoofing Detection via Opportunistic IRIDIUM Signals


GNSS-stereo-inertial SLAM for arable farming


GNSS/GPS Spoofing and Jamming Identification Using Machine Learning and Deep Learning


GO Gradient for Expectation-Based Objectives


GO Hessian for Expectation-Based Objectives


GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation


GO-Surf: Neural Feature Grid Optimization for Fast, High-Fidelity RGB-D Surface Reconstruction


GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation


GOAL: A Generalist Combinatorial Optimization Agent Learning


GOAL: Global-local Object Alignment Learning


GOAL: Towards Benchmarking Few-Shot Sports Game Summarization


GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation


GOAt: Explaining Graph Neural Networks via Graph Output Attribution


GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion


GOD model: Privacy Preserved AI School for Personal Assistant


GODBench: A Benchmark for Multimodal Large Language Models in Video Comment Art


GODEL: Large-Scale Pre-Training for Goal-Directed Dialog


GODSAC*: Graph Optimized DSAC* for Robot Relocalization


GOES GLM, Biased Bolides, and Debiased Distributions


GOFA: A Generative One-For-All Model for Joint Graph Language Modeling


GOGGLES: Automatic Image Labeling with Affinity Coding


GOLD: Geometry Problem Solver with Natural Language Description


GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation


GOLEM: distribution of Gene regulatOry eLEMents within the plant promoters


GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval


GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization


GOMAA-Geo: GOal Modality Agnostic Active Geo-localization


GOO: A Dataset for Gaze Object Prediction in Retail Environments


GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection


GOOD: Exploring Geometric Cues for Detecting Objects in an Open World


GOODAT: Towards Test-time Graph Out-of-Distribution Detection


GOOL: A Generic Object-Oriented Language (extended version)


GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning


GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning


GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning


GOReloc: Graph-based Object-Level Relocalization for Visual SLAM


GOTCHA: Real-Time Video Deepfake Detection via Challenge-Response


GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision


GOTPR: General Outdoor Text-based Place Recognition Using Scene Graph Retrieval with OpenStreetMap


GOTaxon: Representing the evolution of biological functions in the Gene Ontology


GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields


GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems


GP+: A Python Library for Kernel-based learning via Gaussian Processes


GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes


GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data


GP-GS: Gaussian Processes for Enhanced Gaussian Splatting


GP-HMAT: Scalable, ${O}(n\log(n))$ Gaussian Process Regression with Hierarchical Low-Rank Matrices


GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian Manifolds


GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning


GP-VAE: Deep Probabilistic Time Series Imputation


GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning


GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds


GPA-Teleoperation: Gaze Enhanced Perception-aware Safe Assistive Aerial Teleoperation


GPAW: An open Python package for electronic-structure calculations


GPAvatar: Generalizable and Precise Head Avatar from Image(s)


GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention


GPD-1: Generative Pre-training for Driving


GPDFlow: Generative Multivariate Threshold Exceedance Modeling via Normalizing Flows


GPEX, A Framework For Interpreting Artificial Neural Networks


GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning


GPFedRec: Graph-guided Personalization for Federated Recommendation


GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning


GPGPU-Parallel Re-indexing of Triangle Meshes with Duplicate-Vertex and Unused-Vertex Removal


GPINN: Physics-informed Neural Network with Graph Embedding


GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development


GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval


GPLMT: A Lightweight Experimentation and Testbed Management Framework


GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization


GPQA: A Graduate-Level Google-Proof Q&A Benchmark


GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval


GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory Prediction


GPR_calculator: An On-the-Fly Surrogate Model to Accelerate Massive Nudged Elastic Band Calculations


GPRat: Gaussian Process Regression with Asynchronous Tasks


GPRec: Bi-level User Modeling for Deep Recommenders


GPS-Denied Navigation Using Low-Cost Inertial Sensors and Recurrent Neural Networks


GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data


GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis


GPS-Net: Graph Property Sensing Network for Scene Graph Generation


GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning


GPS: Genetic Prompt Search for Efficient Few-shot Learning


GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding


GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding


GPT Can Solve Mathematical Problems Without a Calculator


GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves


GPT Struct Me: Probing GPT Models on Narrative Entity Extraction


GPT as Knowledge Worker: A Zero-Shot Evaluation of (AI)CPA Capabilities


GPT detectors are biased against non-native English writers


GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain


GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models


GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher


GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation


GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition


GPT-4V(ision) is a Generalist Web Agent, if Grounded


GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation


GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection


GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models


GPT-FL: Generative Pre-trained Model-Assisted Federated Learning


GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond


GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models


GPT-GNN: Generative Pre-Training of Graph Neural Networks


GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?


GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation


GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models


GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward non-intrusive Meta-learning of parametric PDEs


GPT-RE: In-context Learning for Relation Extraction using Large Language Models


GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks


GPT-assisted learning of structure-property relationships by graph neural networks: Application to rare-earth doped phosphors


GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection Method


GPT-too: A language-model-first approach for AMR-to-text generation


GPT4All: An Ecosystem of Open Source Compressed Language Models


GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking


GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest


GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives


GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction


GPTCast: a weather language model for precipitation nowcasting


GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench


GPTFF: A high-accuracy out-of-the-box universal AI force field for arbitrary inorganic materials


GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts


GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis


GPTZoo: A Large-scale Dataset of GPTs for the Research Community


GPTopic: Dynamic and Interactive Topic Representations


GPTs Are Multilingual Annotators for Sequence Generation Tasks


GPTs Window Shopping: An analysis of the Landscape of Custom ChatGPT Models


GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization


GPU Accelerated Convex Approximations for Fast Multi-Agent Trajectory Optimization


GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms


GPU Acceleration of ADMM for Large-Scale Quadratic Programming


GPU Computation of the Euler Characteristic Curve for Imaging Data


GPU Multisplit: an extended study of a parallel algorithm


GPU Performance Portability needs Autotuning


GPU Scheduler for De Novo Genome Assembly with Multiple MPI Processes


GPU accelerated population annealing algorithm


GPU acceleration of many-body perturbation theory methods in MOLGW with OpenACC


GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor


GPU propagation and visualisation of particle collisions with ALICE magnetic field model


GPU-Accelerated Approximate Kernel Method for Quantum Machine Learning


GPU-Accelerated Charge-Equilibration for Shadow Molecular Dynamics in Python


GPU-Accelerated Counterfactual Regret Minimization


GPU-Accelerated DCOPF using Gradient-Based Optimization


GPU-Accelerated Inverse Lithography Towards High Quality Curvy Mask Generation


GPU-Accelerated LOD Generation for Point Clouds


GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering


GPU-Accelerated Parallel Selected Inversion for Structured Matrices Using sTiles


GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection


GPU-Enabled Searches for Periodic Signals of Unknown Shape


GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring


GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture


GPU-Net: Lightweight U-Net with more diverse features


GPU-accelerated Effective Hamiltonian Calculator


GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA


GPU-accelerated Faster Mean Shift with euclidean distance metrics


GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model


GPU-accelerated SIFT-aided source identification of stabilized videos


GPU-accelerated partially linear multiuser detection for 5G and beyond URLLC systems


GPU-based Parallel Computation Support for Stan


GPU-based Private Information Retrieval for On-Device Machine Learning Inference


GPU-friendly, Parallel, and (Almost-)In-Place Construction of Left-Balanced k-d Trees


GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs


GPURepair: Automated Repair of GPU Kernels


GPUReplay: A 50-KB GPU Stack for Client ML


GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting


GParareal: A time-parallel ODE solver using Gaussian process emulation


GPdoemd: a Python package for design of experiments for model discrimination


GPflux: A Library for Deep Gaussian Processes


GPz: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts


GQE-Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attribute


GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems


GR-GAN: Gradual Refinement Text-to-image Generation


GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek


GRACE: Discriminator-Guided Chain-of-Thought Reasoning


GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction


GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis


GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection


GRACEFUL: A Learned Cost Estimator For UDFs


GRADIEND: Monosemantic Feature Learning within Neural Networks Applied to Gender Debiasing of Transformer Models


GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis


GRAF: Graph Attention-aware Fusion Networks


GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets


GRAFICS: Graph Embedding-based Floor Identification Using Crowdsourced RF Signals


GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch


GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code


GRAIN: Exact Graph Reconstruction from Gradients


GRAL: Localization of Floating Wireless Sensors in Pipe Networks


GRAM: A Generative Foundation Reward Model for Reward Generalization


GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering


GRAM: Generalization in Deep RL with a Robust Adaptation Module


GRAMEP: an alignment-free method based on the Maximum Entropy Principle for identifying SNPs


GRAMMAR: Grounded and Modular Methodology for Assessment of Closed-Domain Retrieval-Augmented Language Model


GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators


GRAND+: Scalable Graph Random Neural Networks


GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction


GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks


GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems


GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology


GRAPHOPT: constrained-optimization-based parallelization of irregular graphs


GRAPPA - A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures


GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression


GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation


GRASP: Grouped Regression with Adaptive Shrinkage Priors


GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction


GRASPA 1.0: GRASPA is a Robot Arm graSping Performance benchmArk


GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features


GRATR: Zero-Shot Evidence Graph Retrieval-Augmented Trustworthiness Reasoning


GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models


GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation


GRB Redshift Classifier to Follow-up High-Redshift GRBs Using Supervised Machine Learning


GRB Redshift Estimation using Machine Learning and the Associated Web-App


GRBoondi: A code for evolving Generalized Proca theories on arbitrary backgrounds


GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback


GRChombo: An adaptable numerical relativity code for fundamental physics


GRDzhadzha: A code for evolving relativistic matter on analytic metric backgrounds


GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains


GREAD: Graph Neural Reaction-Diffusion Networks


GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models


GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding


GREEK-BERT: The Greeks visiting Sesame Street


GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation


GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images


GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs


GRES: Generalized Referring Expression Segmentation


GRF: Learning a General Radiance Field for 3D Representation and Rendering


GRFolres: A code for modified gravity simulations in strong gravity


GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-Resolution


GRFsaw: A lightweight stochastic microstructure generator


GRI: Graph-based Relative Isomorphism of Word Embedding Spaces


GRID: A Platform for General Robot Intelligence Development


GRID: Scene-Graph-based Instruction-driven Robotic Task Planning


GRIF-DM: Generation of Rich Impression Fonts using Diffusion Models


GRIFFIN: A C++ library for electroweak radiative corrections in fermion scattering and decay processes


GRIFFIN: Effective Token Alignment for Faster Speculative Decoding


GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants


GRIM-Filter: Fast Seed Location Filtering in DNA Read Mapping Using Processing-in-Memory Technologies


GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training


GRIT: General Robust Image Task Benchmark


GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction


GRIT: a package for structure-preserving simulations of gravitationally interacting rigid-bodies


GRITHopper: Decomposition-Free Multi-Hop Dense Retrieval


GRLib: An Open-Source Hand Gesture Detection and Recognition Python Library


GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation


GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition


GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning


GRNet: Gridding Residual Network for Dense Point Cloud Completion


GROMACS Stochastic Dynamics and BAOAB are equivalent configurational sampling algorithms


GROOViST: A Metric for Grounding Objects in Visual Storytelling


GROWN+UP: A Graph Representation Of a Webpage Network Utilizing Pre-training


GRPE: Relative Positional Encoding for Graph Transformer


GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models


GRS: Combining Generation and Revision in Unsupervised Sentence Simplification


GRTresna: An open-source code to solve the initial data constraints in numerical relativity


GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation


GRUEN for Evaluating Linguistic Quality of Generated Text


GRUtopia: Dream General Robots in a City at Scale


GRaCE: Balancing Multiple Criteria to Achieve Stable, Collision-Free, and Functional Grasps


GRaD-Nav: Efficiently Learning Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics


GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers


GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation


GRiNS: A Python Library for Simulating Gene Regulatory Network Dynamics


GRiT: A Generative Region-to-text Transformer for Object Understanding


GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring


GS-I$^{3}$: Gaussian Splatting for Surface Reconstruction from Illumination-Inconsistent Images


GS-IR: 3D Gaussian Splatting for Inverse Rendering


GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting


GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations


GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View Synthesis


GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion Analysis


GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views


GSAC: Leveraging Gaussian Splatting for Photorealistic Avatar Creation with Unity Integration


GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets


GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples


GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration


GSCodec Studio: A Modular Framework for Gaussian Splat Compression


GSDFuse: Capturing Cognitive Inconsistencies from Multi-Dimensional Weak Signals in Social Media Steganalysis


GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation


GSE: Group-wise Sparse and Explainable Adversarial Attacks


GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF Fusion


GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats


GSHOT: Few-shot Generative Modeling of Labeled Graphs


GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment Analysis


GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention


GSLAM: A General SLAM Framework and Benchmark


GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration


GSN: A Graph-Structured Network for Multi-Party Dialogues


GSN: Generalisable Segmentation in Neural Radiance Field


GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision


GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents


GSPD: An algorithm for time-dependent tokamak equilibria design


GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud


GSPR: Multimodal Place Recognition Using 3D Gaussian Splatting for Autonomous Driving


GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes


GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement


GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning


GSSMD: New metric for robust and interpretable assay quality assessment and hit selection


GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders


GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers


GSTAM: Efficient Graph Distillation with Structural Attention-Matching


GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling


GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation


GSURE-Based Diffusion Model Training with Corrupted Data


GSV-Cities: Toward Appropriate Supervised Visual Place Recognition


GSVA: Generalized Segmentation via Multimodal Large Language Models


GSVD-NMF: Recovering Missing Features in Non-negative Matrix Factorization


GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on Video


GS^3: Efficient Relighting with Triple Gaussian Splatting


GSemSplat: Generalizable Semantic 3D Gaussian Splatting from Uncalibrated Image Pairs


GSound-SIR: A Spatial Impulse Response Ray-Tracing and High-order Ambisonic Auralization Python Toolkit


GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual Localization


GSplatLoc: Ultra-Precise Camera Localization via 3D Gaussian Splatting


GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes


GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games


GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling


GSum: A General Framework for Guided Neural Abstractive Summarization


GSurf: 3D Reconstruction via Signed Distance Fields with Direct Gaussian Supervision


GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation


GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis


GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization


GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction


GTA: A Benchmark for General Tool Agents


GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers


GTA: Gated Toxicity Avoidance for LM Performance Preservation


GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning


GTA: Global Tracklet Association for Multi-Object Tracking in Sports


GTApprox: surrogate modeling for industrial design


GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation


GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques


GTFS2STN: Analyzing GTFS Transit Data by Generating Spatiotemporal Transit Network


GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning


GTNet: A Tree-Based Deep Graph Learning Architecture


GTOC X: Karmarkar's Gang's Approach and Results


GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation


GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method


GTS: GPU-based Tree Index for Fast Similarity Search


GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks


GTac: A Biomimetic Tactile Sensor with Skin-like Heterogeneous Force Feedback for Robots


GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification


GUARD: A Safe Reinforcement Learning Benchmark


GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms


GUARD: Graph Universal Adversarial Defense


GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classification


GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation


GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices


GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents


GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies


GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding


GUI-Xplore: Empowering Generalizable GUI Agents with One Exploration


GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent


GUICourse: From General Vision Language Models to Versatile GUI Agents


GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought


GUIDE: Guidance-based Incremental Learning with Diffusion Models


GUIDEQ: Framework for Guided Questioning for progressive informational collection and classification


GUIDO: A Hybrid Approach to Guideline Discovery & Ordering from Natural Language Texts


GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks


GUILGET: GUI Layout GEneration with Transformer


GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs


GUIRoboTron-Speech: Towards Automated GUI Agents Based on Speech Instructions


GULP: a prediction-based metric between representations


GUM-SAGE: A Novel Dataset and Approach for Graded Entity Salience Prediction


GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation


GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization


GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic Animal Segmentation


GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection


GUS-Net: Social Bias Classification in Text with Generalizations, Unfairness, and Stereotypes


GUing: A Mobile GUI Search Engine using a Vision-Language Model


GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure Detection


GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning


GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation


GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors


GVdoc: Graph-based Visual Document Classification


GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory


GW170817: Stringent constraints on neutron-star radii from multimessenger observations and nuclear theory


GW190521 may be an intermediate mass ratio inspiral


GW190521: Search for Echoes due to Stimulated Hawking Radiation from Black Holes


GW190521: tracing imprints of spin-precession on the most massive black hole binary


GWA: A Large High-Quality Acoustic Dataset for Audio Processing


GWAK: Gravitational-Wave Anomalous Knowledge with Recurrent Autoencoders


GWSkyNet-Multi II: an updated deep learning model for rapid classification of gravitational-wave events


GWSurrogate: A Python package for gravitational wave surrogate models


GWtuna: Trawling through the data to find Gravitational Waves with Optuna and Jax


GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing


GXJoin: Generalized Cell Transformations for Explainable Joinability


GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework


GYOTO 2.0: a polarized relativistic ray-tracing code


G^3: Geolocation via Guidebook Grounding


GaKCo: a Fast GApped k-mer string Kernel using COunting


GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting


GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics


GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers


GaRLIO: Gravity enhanced Radar-LiDAR-Inertial Odometry


GaTector: A Unified Framework for Gaze Object Prediction


GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation


Gabor frames and deep scattering networks in audio processing


Gabor-Enhanced Physics-Informed Neural Networks for Fast Simulations of Acoustic Wavefields


Gacs-Korner Common Information Variational Autoencoder


Gaia Data Release 2: using Gaia parallaxes


Gaia Focused Product Release: A catalogue of sources around quasars to search for strongly lensed quasars


Gaia and HST astrometry of the very massive $\sim$150 $M_\odot$ candidate runaway star VFTS682


Gain More for Less: The Surprising Benefits of QoS Management in Constrained NDN Networks


Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation


Gain and phase calibration of sensor arrays from ambient noise by cross-spectral measurements fitting


Gain-induced group delay in spontaneous parametric down-conversion


GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis


Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute


Gaining a Sense of Touch. Physical Parameters Estimation using a Soft Gripper and Neural Networks


Gaining a better understanding of online polarization by approaching it as a dynamic process


Gait Recognition in the Wild: A Large-scale Benchmark and NAS-based Baseline


GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning


GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation


GaitFormer: Learning Gait Representations with Noisy Multi-Task Learning


GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition


GaitGS: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition


GaitMM: Multi-Granularity Motion Sequence Learning for Gait Recognition


GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer


GaitRef: Gait Recognition with Refined Sequential Skeletons


GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition


GaitSTR: Gait Recognition with Sequential Two-stream Refinement


GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework


GalCEM I -- An Open-Source Detailed Isotopic Chemical Evolution Code


GalLoP: Learning Global and Local Prompts for Vision-Language Models


GalSBI: Phenomenological galaxy population model for cosmology using simulation-based inference


GalSim: The modular galaxy image simulation toolkit


GalaPy, the highly optimised C++/Python spectral modelling tool for galaxies - I - Library presentation and photometric fitting


Galactic Chemical Evolution Models Favor an Extended Type Ia Supernova Delay-Time Distribution


Galactic Compton Wavelengths in $f(R)$ Screening Theories


Galactic Distribution of Supernovae and OB Associations


Galactic Outflow Emission Line Profiles: Evidence for Dusty, Radiatively-Driven Ionized Winds in Mrk 462


Galactic and extragalactic probe of dark matter with LISA's binary black holes


Galactic diffuse gamma rays meet the PeV frontier


Galactic magnetic fields I. Theoretical model and scaling relations


Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second


Galactica: A Large Language Model for Science


Galapagos: Automated N-Version Programming with LLMs


GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning


Galaxy 3D Shape Recovery using Mixture Density Network


Galaxy Clustering with LSST: Effects of Number Count Bias from Blending


Galaxy Era: Agent-based Simulation of Execution Tickets


Galaxy Evolution in $\ddotμ$ based Cosmologies


Galaxy Image Classification using Hierarchical Data Learning with Weighted Sampling and Label Smoothing


Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMM


Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks


Galaxy Imaging with Generative Models: Insights from a Two-Models Framework


Galaxy Merger Reconstruction with Equivariant Graph Normalizing Flows


Galaxy Morphological Classification with Manifold Learning


Galaxy Morphological Classification with Zernike Moments and Machine Learning Approaches


Galaxy Morphology Classification using EfficientNet Architectures


Galaxy Morphology Network: A Convolutional Neural Network Used to Study Morphology and Quenching in $\sim 100,000$ SDSS and $\sim 20,000$ CANDELS Galaxies


Galaxy Rotation Curve Measurements with Low Cost 21 cm Radio Telescope


Galaxy Spectra Networks (GaSNet). III. Generative pre-trained network for spectrum reconstruction, redshift estimate and anomaly detection


Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions


Galaxy Spin Classification I: Z-wise vs S-wise Spirals With Chirality Equivariant Residual Network


Galaxy Tagging: photometric redshift refinement and group richness enhancement


Galaxy Velocity Bias in Cosmological Simulations: Towards Percent-level Calibration


Galaxy Zoo: 3D -- Crowd-sourced Bar, Spiral and Foreground Star Masks for MaNGA Target Galaxies


Galaxy Zoo: Clump Scout -- Design and first application of a two-dimensional aggregation tool for citizen science


Galaxy Zoo: Morphological Classifications for 120,000 Galaxies in HST Legacy Imaging


Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning


Galaxy classification: a deep learning approach for classifying Sloan Digital Sky Survey images


Galaxy cluster profiles: A Gaussian mixture model approach to halo miscentering


Galaxy clustering in the DESI Legacy Survey and its imprint on the CMB


Galaxy clusters enveloped by vast volumes of relativistic electrons


Galaxy gas as obscurer: II. Separating the galaxy-scale and nuclear obscurers of Active Galactic Nuclei


Galaxy morphologies at cosmic noon with JWST: A foundation for exploring gas transport with bars and spiral arms


Galaxy morphology prediction using capsule networks


Galaxy rotation curves using a non-parametric regression method: core, cusp and fuzzy scalar field dark matter models


Galaxy shape measurement with convolutional neural networks


Galaxy-Galaxy Strong Lensing with U-Net (GGSL-UNet). I. Extracting 2-Dimensional Information from Multi-Band Images in Ground and Space Observations


Galaxy-Point Spread Function correlations as a probe of weak-lensing systematics with UNIONS data


Galaxy-dark matter connection of photometric galaxies from the HSC-SSP Survey: Galaxy-galaxy lensing and the halo model


Gall Bladder Cancer Detection from US Images with Only Image Level Labels


Gallery Filter Network for Person Search


GalleryGPT: Analyzing Paintings with Large Multimodal Models


Galley: Modern Query Optimization for Sparse Tensor Programs


Galois Action on Homology of the Heisenberg Curve


Galois groups in a family of dynatomic polynomials


Galois groups of low dimensional abelian varieties over finite fields


Galois groups of simple abelian varieties over finite fields and exceptional Tate classes


Game Plot Design with an LLM-powered Assistant: An Empirical Study with Game Designers


Game Theoretic Liquidity Provisioning in Concentrated Liquidity Market Makers


Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning


Game Theory Based Community-Aware Opinion Dynamics


Game Theory for Adversarial Attacks and Defenses


Game of Gradients: Mitigating Irrelevant Clients in Federated Learning


Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing


Game theoretical analysis of Kidney Exchange Programs


Game-Theoretic Unlearnable Example Generator


Game-Theoretically Secure Distributed Protocols for Fair Allocation in Coalitional Games


Game-driven random walks: Survival time statistics


Game-theoretic LLM: Agent Workflow for Negotiation Games


Game-theoretic modeling of collective decision-making during epidemics


Game4Loc: A UAV Geo-Localization Benchmark from Game Data


GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents


GameEval: Evaluating LLMs on Conversational Games


GameGen-X: Interactive Open-world Game Video Generation


GamePad: A Learning Environment for Theorem Proving


GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps


GameWikiSum: a Novel Large Multi-Document Summarization Dataset


Games Without Frontiers: Investigating Video Games as a Covert Channel


Gamified Crowdsourcing for Idiom Corpora Construction


Gamified Speaker Comparison by Listening


Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning


Gamma-ray Blazar Classification using Machine Learning with Advanced Weight Initialization and Self-Supervised Learning Techniques


Gamma-ray burst detection with Poisson-FOCuS and other trigger algorithms


Gamma: Toward Generic Image Assessment with Mixture of Assessment Experts


GammaBayes: a Bayesian pipeline for dark matter detection with CTA


GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs


Gammapy: A Python package for gamma-ray astronomy


Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility Assessment


Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks


Gamu Blue: A Practical Tool for Game Theory Security Equilibria


Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random Access


GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator


Gandalf the Red: Adaptive Security for LLMs


Gap junction plasticity can lead to spindle oscillations


Gap opening mechanism for correlated Dirac electrons in organic compounds $α$-(BEDT-TTF)$_2$I$_3$ and $α$-(BEDT-TSeF)$_2$I$_3$


Gap-Dependent Unsupervised Exploration for Reinforcement Learning


Gap-Filling Prompting Enhances Code-Assisted Mathematical Reasoning


Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement


GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight


GapPredict: A Language Model for Resolving Gaps in Draft Genome Assemblies


Gappy AE: A Nonlinear Approach for Gappy Data Reconstruction using Auto-Encoder


Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations


GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images


Garbage Collection for Rust: The Finalizer Frontier


Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?


Garbage in, garbage out: Zero-shot detection of crime using Large Language Models


Garbage, Glitter, or Gold: Assigning Multi-dimensional Quality Scores to Social Media Seeds for Web Archive Collections


GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow


Garden city: A synthetic dataset and sandbox environment for analysis of pre-processing algorithms for GPS human mobility data


Garden optimization problems for benchmarking quantum annealers


Garfield: System Support for Byzantine Machine Learning


Garment Animation NeRF with Color Editing


Garment Recovery with Shape and Deformation Priors


Garment4D: Garment Reconstruction from Point Cloud Sequences


GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details


GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation


GarmentTracking: Category-Level Garment Pose Tracking


Gas flow and solid deformation in unconventional shale


Gas-phase metallicity break radii of star-forming galaxies in IllustrisTNG


GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes


GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection


Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning


Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks


Gate-Shift-Fuse for Video Action Recognition


Gate-based Quantum Computing for Protein Design


GateKeeper-GPU: Fast and Accurate Pre-Alignment Filtering in Short Read Mapping


GateKeeper: A New Hardware Architecture for Accelerating Pre-Alignment in DNA Short Read Mapping


GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification


GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity


GateNet: A novel Neural Network Architecture for Automated Flow Cytometry Gating


GateSeeder: Near-memory CPU-FPGA Acceleration of Short and Long Read Mapping


Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks


Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free


Gated Attentive-Autoencoder for Content-Aware Recommendation


Gated Channel Transformation for Visual Recognition


Gated Context Aggregation Network for Image Dehazing and Deraining


Gated Delta Networks: Improving Mamba2 with Delta Rule


Gated Domain Units for Multi-source Domain Generalization


Gated Fusion Network for Degraded Image Super Resolution


Gated Information Bottleneck for Generalization in Sequential Environments


Gated Integration of Low-Rank Adaptation for Continual Learning of Language Models


Gated Linear Attention Transformers with Hardware-Efficient Training


Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification


Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement


Gated Multiple Feedback Network for Image Super-Resolution


Gated Neural Networks for Option Pricing: Rationality by Design


Gated Orthogonal Recurrent Units: On Learning to Forget


Gated Recurrent Context: Softmax-free Attention for Online Encoder-Decoder Speech Recognition


Gated Res2Net for Multivariate Time Series Analysis


Gated Task Interaction Framework for Multi-task Sequence Tagging


Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation


Gated-Attention Architectures for Task-Oriented Language Grounding


Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism


Gated2Depth: Real-time Dense Lidar from Gated Images


Gated2Gated: Self-Supervised Depth Estimation from Gated Images


Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations


Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study


Gator: Customizable Channel Pruning of Neural Networks with Gating


GauHuman: Articulated Gaussian Splatting from Monocular Human Videos


GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction


GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond


Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs


Gauss-Newton Runge-Kutta Integration for Efficient Discretization of Optimal Control Problems with Long Horizons and Least-Squares Costs


Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control


GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing


GaussED: A Probabilistic Programming Language for Sequential Experimental Design


GaussNav: Gaussian Splatting for Visual Navigation


GaussRender: Learning 3D Occupancy with Gaussian Rendering


GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding


Gaussbock: Fast parallel-iterative cosmological parameter estimation with Bayesian nonparametrics


Gaussian Blur and Relative Edge Response


Gaussian Constrained Attention Network for Scene Text Recognition


Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles


Gaussian Deja-vu: Creating Controllable 3D Gaussian Head-Avatars with Enhanced Generalization and Personalization Abilities


Gaussian Differential Privacy on Riemannian Manifolds


Gaussian Embedding of Large-scale Attributed Graphs


Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems


Gaussian Flow Bridges for Audio Domain Transfer with Unpaired Data


Gaussian Framework and Optimal Projection of Weather Fields for Prediction of Extreme Events


Gaussian Grouping: Segment and Edit Anything in 3D Scenes


Gaussian Kernel Mixture Network for Single Image Defocus Deblurring


Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers


Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks


Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization


Gaussian Mixture Identifiability from degree 6 Moments


Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding


Gaussian Mixture Reduction with Composite Transportation Divergence


Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification


Gaussian Multi-head Attention for Simultaneous Machine Translation


Gaussian Object Carver: Object-Compositional Gaussian Splatting with surfaces completion


Gaussian Pre-Activations in Neural Networks: Myth or Reality?


Gaussian Prepivoting for Finite Population Causal Inference


Gaussian Process Assisted Active Learning of Physical Laws


Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective


Gaussian Process Behaviour in Wide Deep Neural Networks


Gaussian Process Classification for Variable Fidelity Data


Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI


Gaussian Process Modelling for Improved Resolution in Faraday Depth Reconstruction


Gaussian Process Models for Mortality Rates and Improvement Factors


Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting


Gaussian Process Phase Interpolation for estimating the asymptotic phase of a limit cycle oscillator from time series data


Gaussian Process Prior Variational Autoencoders


Gaussian Process Priors for Boundary Value Problems of Linear Partial Differential Equations


Gaussian Process Priors for Dynamic Paired Comparison Modelling


Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients


Gaussian Process Regression and Classification using International Classification of Disease Codes as Covariates


Gaussian Process Regression for foreground removal in HI intensity mapping experiments


Gaussian Process Subspace Regression for Model Reduction


Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications


Gaussian Process modelling of granulation and oscillations in red-giant stars


Gaussian Process regression for astronomical time-series


Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels


Gaussian Process-based calculation of look-elsewhere trials factor


Gaussian Processes and Bayesian Optimization for High Precision Experiments


Gaussian Processes for Data-Efficient Learning in Robotics and Control


Gaussian Processes for Finite Size Extrapolation of Many-Body Simulations


Gaussian Processes for Missing Value Imputation


Gaussian Processes for Monitoring Air-Quality in Kampala


Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept


Gaussian Processes for Time Series with Lead-Lag Effects with applications to biology data


Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning


Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation


Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models


Gaussian Shell Maps for Efficient 3D Human Generation


Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion


Gaussian Splatting with NeRF-based Color and Opacity


Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models


Gaussian Switch Sampling: A Second Order Approach to Active Learning


Gaussian Universality of Perceptrons with Random Labels


Gaussian and Non-Gaussian Universality of Data Augmentation


Gaussian belief propagation solvers for nonsymmetric systems of linear equations


Gaussian boson sampling and multi-particle event optimization by machine learning in the quantum phase space


Gaussian distributional structural equation models: A framework for modeling latent heteroscedasticity


Gaussian free fields at the integer quantum Hall plateau transition


Gaussian graphical models with graph constraints for magnetic moment interaction in high entropy alloys


Gaussian in the Dark: Real-Time View Synthesis From Inconsistent Dark Images Using Gaussian Splatting


Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling


Gaussian orthogonal latent factor processes for large incomplete matrices of correlated data


Gaussian process emulators for computer experiments with inequality constraints


Gaussian process hyper-parameter estimation using parallel asymptotically independent Markov sampling


Gaussian process learning of nonlinear dynamics


Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids


Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problems


Gaussian process regression for survival time prediction with genome-wide gene expression


Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels


Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data


Gaussian processes at the Helm(holtz): A more fluid model for ocean currents