Inferring Stellar Parameters from Iodine-Imprinted Keck/HIRES Spectra with Machine Learning


Inferring Stochastic Group Interactions within Structured Populations via Coupled Autoregression


Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks


Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach


Inferring Synergistic and Antagonistic Interactions in Mixtures of Exposures


Inferring Tie Strength in Temporal Networks


Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures


Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors


Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data


Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis


Inferring causality from noisy time series data


Inferring cell-specific lncRNA regulation with single-cell RNA-sequencing data in the developing human neocortex


Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework


Inferring correlated distributions: boosted top jets


Inferring cosmology from gravitational waves using non-parametric detector-frame mass distribution


Inferring cumulative advantage from longitudinal records


Inferring directed spectral information flow between mixed-frequency time series


Inferring effective couplings with Restricted Boltzmann Machines


Inferring entropy production in many-body systems using nonequilibrium MaxEnt


Inferring epidemic dynamics using Gaussian process emulation of agent-based simulations


Inferring feature importance with uncertainties in high-dimensional data


Inferring flavor mixtures in multijet events


Inferring galaxy cluster masses from cosmic microwave background lensing with neural simulation based inference


Inferring genotype-phenotype maps using attention models


Inferring high-resolution human mixing patterns for disease modeling


Inferring ice sheet damage models from limited observations using CRIKit: the Constitutive Relation Inference Toolkit


Inferring interpretable dynamical generators of local quantum observables from projective measurements through machine learning


Inferring kilonova population properties with a hierarchical Bayesian framework I : Non-detection methodology and single-event analyses


Inferring latent structure in ecological communities via barcodes


Inferring metabolic fluxes in nutrient-limited continuous cultures: A Maximum Entropy Approach with minimum information


Inferring microbial interactions with their environment from genomic and metagenomic data


Inferring on joint associations from marginal associations and a reference sample


Inferring parameters and reconstruction of two-dimensional turbulent flows with physics-informed neural networks


Inferring phenomenological models of first passage processes


Inferring physical properties of stellar collapse by third-generation gravitational-wave detectors


Inferring pointwise diffusion properties of single trajectories with deep learning


Inferring probabilistic Boolean networks from steady-state gene data samples


Inferring sources of substandard and falsified products in pharmaceutical supply chains


Inferring spatial relations from textual descriptions of images


Inferring species interactions using Granger causality and convergent cross mapping


Inferring stability properties of chaotic systems on autoencoders' latent spaces


Inferring stochastic low-rank recurrent neural networks from neural data


Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation


Inferring temporal dynamics from cross-sectional data using Langevin dynamics


Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation


Inferring the Direction of a Causal Link and Estimating Its Effect via a Bayesian Mendelian Randomization Approach


Inferring the Effect of a Confounded Treatment by Calibrating Resistant Population's Variance


Inferring the Energy and Distance Distributions of Fast Radio Bursts using the First CHIME/FRB Catalog


Inferring the Gas-to-Dust Ratio in the Main Planet-Forming Region of Disks


Inferring the Hubble Constant Using Simulated Strongly Lensed Supernovae and Neural Network Ensembles


Inferring the Ionizing Photon Contributions of High-Redshift Galaxies to Reionization with JWST NIRCam Photometry


Inferring the Isotropic-nematic Phase Transition with Generative Machine Learning


Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments


Inferring the Morphology of the Galactic Center Excess with Gaussian Processes


Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning


Inferring the Rotation Period Distribution of Stars from their Projected Rotation Velocities and Radii: Application to late-F/early-G Kepler Stars


Inferring the astrophysics of reionization and cosmic dawn from galaxy luminosity functions and the 21-cm signal


Inferring the dark matter splashback radius from cluster gas and observable profiles in the FLAMINGO simulations


Inferring the dynamics of underdamped stochastic systems


Inferring the heritability of bacterial traits in the era of machine learning


Inferring the immune response from repertoire sequencing


Inferring the minimum spanning tree from a sample network


Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping


Inferring the sources of HIV infection in Africa from deep sequence data with semi-parametric Bayesian Poisson flow models


Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders


Inferring topological transitions in pattern-forming processes with self-supervised learning


Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter


Inferring urban polycentricity from the variability in human mobility patterns


Inferring urban social networks from publicly available data


InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models


InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models


InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion


InfiniBench: A Comprehensive Benchmark for Large Multimodal Models in Very Long Video Understanding


InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache


InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation


InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model


InfiniStore: Elastic Serverless Cloud Storage


Infinite Action Contextual Bandits with Reusable Data Exhaust


Infinite Feature Selection: A Graph-based Feature Filtering Approach


Infinite Mixtures of Infinite Factor Analysers


Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image


Infinite Time Horizon Safety of Bayesian Neural Networks


Infinite dimensional adaptive MCMC for Gaussian processes


Infinite-Dimensional Algebraic $\mathfrak{Spin}$($N$) Structure in Extended/Higher Dimensional SUSY Holoraumy for Valise and On-Shell Supermultiplet Representations


Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation


Infinite-Horizon Optimal Control of Switched Boolean Control Networks with Average Cost: An Efficient Graph-Theoretical Approach


Infinite-dimensional Diffusion Bridge Simulation via Operator Learning


Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection


Infinite-dimensional next-generation reservoir computing


Infinite-width limit of deep linear neural networks


InfiniteBoost: building infinite ensembles with gradient descent


InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images


InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity


InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction


InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity


Infinitely Divisible Noise in the Low Privacy Regime


Infinitely growing configurations in Emil Post's tag system problem


Infinitely many arithmetic hyperbolic rational homology 3-spheres that bound geometrically


Infinitely many isolas of modulational instability for Stokes waves


InfinityGAN: Towards Infinite-Pixel Image Synthesis


Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos


Inflated Eccentric Migration of evolving gas giants II: Numerical methodology and basic concepts


Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models


Inflation: a Python library for classical and quantum causal compatibility


InflationEasy: A C++ Lattice Code for Inflation


Inflationary Butterfly Effect: Non-perturbative Dynamics From Small-Scale Features


Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models


Inflationary Gravitational Waves as a probe of the unknown post-inflationary primordial Universe


Inflationary and Gravitational Wave Signatures of Small Primordial Black Holes as Dark Matter


InfleCS: Clustering Free Energy Landscapes with Gaussian Mixtures


Inflow, Outflow, Yields, and Stellar Population Mixing in Chemical Evolution Models


Influence Estimation for Generative Adversarial Networks


Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining


Influence Functions for Sequence Tagging Models


Influence Maximization in Hypergraphs using Multi-Objective Evolutionary Algorithms


Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised Approach


Influence Maximization via Graph Neural Bandits


Influence Networks: Bayesian Modeling and Diffusion


Influence Optimization in Networks: New Formulations and Valid Inequalities


Influence Robustness of Nodes in Multiplex Networks against Attacks


Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates


Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling


Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving


Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI


Influence of Roles in Decision-Making during OSS Development -- A Study of Python


Influence of atomic relaxations on the moiré flat band wavefunctions in antiparallel twisted bilayer WS$_{\text{2}}$


Influence of committed volunteers on helping behavior in emergency evacuations


Influence of fake news in Twitter during the 2016 US presidential election


Influence of roughness on the dynamical properties of granular gases


Influence of single observations on the choice of the penalty parameter in ridge regression


Influence of the Geometry of the world model on Curiosity Based Exploration


Influence of the vessel wall geometry on the wall-induced migration of red blood cells


Influence of turbulence on Lyman-alpha scattering


Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection


Influence of various text embeddings on clustering performance in NLP


Influence-Augmented Online Planning for Complex Environments


Influence-Balanced Loss for Imbalanced Visual Classification


Influence-based Attributions can be Manipulated


Influence-guided Data Augmentation for Neural Tensor Completion


Influencer Backdoor Attack on Semantic Segmentation


Influencer Detection with Dynamic Graph Neural Networks


Influencer Self-Disclosure Practices on Instagram: A Multi-Country Longitudinal Study


Influencers identification in complex networks through reaction-diffusion dynamics


Influencing Humans to Conform to Preference Models for RLHF


Influencing Long-Term Behavior in Multiagent Reinforcement Learning


Influencing Reinforcement Learning through Natural Language Guidance


Influential groups for seeding and sustaining nonlinear contagion in heterogeneous hypergraphs


Info-Coevolution: An Efficient Framework for Data Model Coevolution


InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective


InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning


InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective


InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings


InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling


InfoColorizer: Interactive Recommendation of Color Palettes for Infographics


InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory


InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis


InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation


InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data


InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification


InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification


InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation


InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction


InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction


InfoOT: Information Maximizing Optimal Transport


InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics


InfoShape: Task-Based Neural Data Shaping via Mutual Information


Infogent: An Agent-Based Framework for Web Information Aggregation


Infographics Wizard: Flexible Infographics Authoring and Design Exploration


Infomap Bioregions: Interactive mapping of biogeographical regions from species distributions


Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip


InforMask: Unsupervised Informative Masking for Language Model Pretraining


Informable Multi-Objective and Multi-Directional RRT* System for Robot Path Planning


Information Access Equality on Network Generative Models


Information Assisted Dictionary Learning for fMRI data analysis


Information Bargaining: Bilateral Commitment in Bayesian Persuasion


Information Borrowing in Regression Models


Information Bottleneck Approach to Spatial Attention Learning


Information Competing Process for Learning Diversified Representations


Information Consistent Pruning: How to Efficiently Search for Sparse Networks?


Information Density Principle for MLLM Benchmarks


Information Design for Vehicle-to-Vehicle Communication


Information Design in Multi-Agent Reinforcement Learning


Information Design in Non-atomic Routing Games with Partial Participation: Computation and Properties


Information Directed Reward Learning for Reinforcement Learning


Information Dispersal with Provable Retrievability for Rollups


Information Entropy Invariance: Enhancing Length Extrapolation in Attention Mechanisms


Information Extraction Tool Text2ALM: From Narratives to Action Language System Descriptions


Information Extraction based on Named Entity for Tourism Corpus


Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models?


Information Flow Control-by-Construction for an Object-Oriented Language Using Type Modifiers


Information Fragmentation, Encryption and Information Flow in Complex Biological Networks


Information Gain Propagation: a new way to Graph Active Learning with Soft Labels


Information Gain as a Tool for Assessing Biosignature Missions


Information Gathering in Decentralized POMDPs by Policy Graph Improvement


Information Geometrically Generalized Covariate Shift Adaptation


Information Guided Regularization for Fine-tuning Language Models


Information Interaction Profile of Choice Adoption


Information Leakage Detection through Approximate Bayes-optimal Prediction


Information Leakage of Sentence Embeddings via Generative Embedding Inversion Attacks


Information Locality as an Inductive Bias for Neural Language Models


Information Maximization Clustering via Multi-View Self-Labelling


Information Maximizing Curriculum: A Curriculum-Based Approach for Imitating Diverse Skills


Information Mining for COVID-19 Research From a Large Volume of Scientific Literature


Information Obfuscation of Graph Neural Networks


Information Plane Analysis for Dropout Neural Networks


Information Privacy Opinions on Twitter: A Cross-Language Study


Information Redundancy and Biases in Public Document Information Extraction Benchmarks


Information Removal at the bottleneck in Deep Neural Networks


Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw


Information Retrieval in the Age of Generative AI: The RGB Model


Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling


Information Seeking in the Spirit of Learning: a Dataset for Conversational Curiosity


Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning


Information Subtraction: Learning Representations for Conditional Entropy


Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback


Information Theoretic Representation Distillation


Information Theoretic Structured Generative Modeling


Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs


Information Theory of Meaningful Communication


Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives


Information based explanation methods for deep learning agents -- with applications on large open-source chess models


Information capacity of quantum communication under natural physical assumptions


Information content and maximum entropy of compartmental systems in equilibrium


Information content of note transitions in the music of J. S. Bach


Information decomposition reveals hidden high-order contributions to temporal irreversibility


Information diffusion assumptions can distort our understanding of social network dynamics


Information engine in a nonequilibrium bath


Information estimation using nonparametric copulas


Information flows of diverse autoencoders


Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise


Information matrix equivalence in the presence of censoring: A goodness-of-fit test for semiparametric copula models with multivariate survival data


Information theoretical perspective on the method of Entanglement Witnesses


Information, entropy and the paradox of choice: A theoretical framework for understanding choice satisfaction


Information-Directed Exploration for Deep Reinforcement Learning


Information-Directed Selection for Top-Two Algorithms


Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning


Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning


Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and Context


Information-Seeking Decision Strategies Mitigate Risk in Dynamic, Uncertain Environments


Information-Theoretic Active Learning for Content-Based Image Retrieval


Information-Theoretic Approximation to Causal Models


Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning


Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates


Information-Theoretic Generative Clustering of Documents


Information-Theoretic Local Minima Characterization and Regularization


Information-Theoretic Measures on Lattices for High-Order Interactions


Information-Theoretic Probing for Linguistic Structure


Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images


Information-Theoretic Safe Exploration with Gaussian Processes


Information-Theoretic Segmentation by Inpainting Error Maximization


Information-Theoretic Visual Explanation for Black-Box Classifiers


Information-Transport-based Policy for Simultaneous Translation


Information-based Preprocessing of PLC Data for Automatic Behavior Modeling


Information-driven design of imaging systems


Information-geometric optimization with natural selection


Information-seeking polynomial NARX model-predictive control through expected free energy minimization


Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification


Information-theoretic Estimation of the Risk of Privacy Leaks


Information-theoretic analysis of multivariate single - cell signaling responses using SLEMI


Information-theoretic generalization bounds for black-box learning algorithms


Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN


Information-theoretic subset selection of multivariate Markov chains via submodular optimization


Informative Dropout for Robust Representation Learning: A Shape-bias Perspective


Informative Features for Model Comparison


Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences


Informative Language Representation Learning for Massively Multilingual Neural Machine Translation


Informative Object Annotations: Tell Me Something I Don't Know


Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs


Informative Visual Storytelling with Cross-modal Rules


Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval


Informative co-data learning for high-dimensional Horseshoe regression


Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift


Informativeness of Reward Functions in Reinforcement Learning


Informativeness of Weighted Conformal Prediction


Informativity Conditions for Multiple Signals: Properties, Experimental Design, and Applications


Informed AI Regulation: Comparing the Ethical Frameworks of Leading LLM Chatbots Using an Ethics-Based Audit to Assess Moral Reasoning and Normative Values


Informed FastICA: Semi-Blind Minimum Variance Distortionless Beamformer


Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation


Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions


Informed baseline subtraction of proteomic mass spectrometry data aided by a novel sliding window algorithm


Infostop: Scalable stop-location detection in multi-user mobility data


InfraParis: A multi-modal and multi-task autonomous driving dataset


Infrared Fluxes and Light Curves of Near-Earth Objects: The full Spitzer Sample


Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep Learning


Infrared Image Super-Resolution: Systematic Review, and Future Trends


Infrared Small Target Detection in Satellite Videos: A New Dataset and A Novel Recurrent Feature Refinement Framework


Infrared Small Target Detection with Scale and Location Sensitivity


Infrared and 3D skeleton feature fusion for RGB-D action recognition


Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning


Infrared and Visible Image Fusion: From Data Compatibility to Task Adaption


Infrared and visible Image Fusion with Language-driven Loss in CLIP Embedding Space


Infrared bubble recognition in the Milky Way and beyond using deep learning


Infrared dust echoes from neutron star mergers


Infrared photometry with InGaAs detectors: First light with SPECULOOS


Infrared spectra at coupled cluster accuracy from neural network representations


Infrastructure Crack Segmentation: Boundary Guidance Method and Benchmark Dataset


Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response


Infrastructure adaptation and emergence of loops in network routing with time-dependent loads


Infrastructure-based Multi-Camera Calibration using Radial Projections


Infrastructure-free, Deep Learned Urban Noise Monitoring at $\sim$100mW


Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting


Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition


Infusing Finetuning with Semantic Dependencies


Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition


Infusing Knowledge from Wikipedia to Enhance Stance Detection


Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models


Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism


Infusing Theory into Deep Learning for Interpretable Reactivity Prediction


Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments


Infusion: internal diffusion for inpainting of dynamic textures and complex motion


Ingredient Extraction from Text in the Recipe Domain


Ingredients: Blending Custom Photos with Video Diffusion Transformers


Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations


Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation


Inherent Limits on Topology-Based Link Prediction


Inherent Redundancy in Spiking Neural Networks


Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks


Inherent Weight Normalization in Stochastic Neural Networks


Inherent limitations of LLMs regarding spatial information


Inherently Explainable Reinforcement Learning in Natural Language


Inherently Faithful Attention Maps for Vision Transformers


Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals


Inherently Interpretable Time Series Classification via Multiple Instance Learning


Inherited topological superconductivity in two-dimensional Dirac semimetals


Inheritune: Training Smaller Yet More Attentive Language Models


Inhibited Softmax for Uncertainty Estimation in Neural Networks


Inhomogeneous Defect Distribution in Mixed-Polytype Metal Halide Perovskites


Inhomogeneous Energy Injection in the 21-cm Power Spectrum: Sensitivity to Dark Matter Decay


Inhomogeneous Hypergraph Clustering with Applications


Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks


Inhomogeneous terminators on the exoplanet WASP-39 b


InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization


Initial Characterization of Stellar Photometry of Roman images from the OpenUniverse Simulations


Initial Design Strategies and their Effects on Sequential Model-Based Optimization


Initial Guessing Bias: How Untrained Networks Favor Some Classes


Initial State Radiation Simulation with MadGraph


Initial Test of "BabyRobot" Behaviour on a Teleoperated Toy Substitution: Improving the Motor Skills of Toddlers


Initial condition for the Balitsky-Kovchegov equation at next-to-leading order


Initial degenerations of spinor varieties


Initial periods and magnetic fields of neutron stars


Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments


Initial results from a realtime FRB search with the GBT


Initial state preparation for quantum chemistry on quantum computers


Initial value problem in string-inspired nonlocal field theory


Initialization Matters for Adversarial Transfer Learning


Initialization and Regularization of Factorized Neural Layers


Initialization of ReLUs for Dynamical Isometry


Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning


Initializing BSQ with Open-Source ICCING


Initiative Defense against Facial Manipulation


Iniva: Inclusive and Incentive-compatible Vote Aggregation


InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents


InjectLab: A Tactical Framework for Adversarial Threat Modeling Against Large Language Models


Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis


Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation


Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop


Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties


Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems


Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction


Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution


Injecting Knowledge in Data-driven Vehicle Trajectory Predictors


Injecting Knowledge into Biomedical Pre-trained Models via Polymorphism and Synonymous Substitution


Injecting Logical Constraints into Neural Networks via Straight-Through Estimators


Injecting Numerical Reasoning Skills into Language Models


Injecting Planning-Awareness into Prediction and Detection Evaluation


Injecting Relational Structural Representation in Neural Networks for Question Similarity


Injecting Semantic Concepts into End-to-End Image Captioning


Injecting Universal Jailbreak Backdoors into LLMs in Minutes


Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding


Injecting structural hints: Using language models to study inductive biases in language learning


Injecting the BM25 Score as Text Improves BERT-Based Re-rankers


Injectivity of ReLU networks: perspectives from statistical physics


Ink removal from histopathology whole slide images by combining classification, detection and image generation models


InkSight: Offline-to-Online Handwriting Conversion by Learning to Read and Write


InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update


Innate Dynamics and Identity Crisis of a Metal Surface Unveiled by Machine Learning of Atomic Environments


InnateCoder: Learning Programmatic Options with Foundation Models


Inner Ensemble Networks: Average Ensemble as an Effective Regularizer


Inner-Imaging Networks: Put Lenses into Convolutional Structure


Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box


Innovation and informal knowledge exchanges between firms


Innovative Horizons in Aerial Imagery: LSKNet Meets DiffusionDet for Advanced Object Detection


Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore Framework


Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations


Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks


Inpainting Galactic Foreground Intensity and Polarization maps using Convolutional Neural Network


Inpainting hydrodynamical maps with deep learning


Inpainting via Generative Adversarial Networks for CMB data analysis


Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model


Input Compression with Positional Consistency for Efficient Training and Inference of Transformer Neural Networks


Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks


Input Fast-Forwarding for Better Deep Learning


Input Normalized Stochastic Gradient Descent Training of Deep Neural Networks


Input Prioritization for Testing Neural Networks


Input Selection for Bandwidth-Limited Neural Network Inference


Input Similarity from the Neural Network Perspective


Input layer regularization and automated regularization hyperparameter tuning for myelin water estimation using deep learning


Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks


Input-Driven Dynamics for Robust Memory Retrieval in Hopfield Networks


Input-Output Hierarchical Equations Of Motion


Input-dependence in quantum reservoir computing


Input-gradient space particle inference for neural network ensembles


Input-to-Output Gate to Improve RNN Language Models


Input-to-State Safety with Input Delay in Longitudinal Vehicle Control


Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space


Inquisitive Question Generation for High Level Text Comprehension


Inroads to a Structured Data Natural Language Bijection and the role of LLM annotation


Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images


Ins-HOI: Instance Aware Human-Object Interactions Recovery


InsBank: Evolving Instruction Subset for Ongoing Alignment


InsCLR: Improving Instance Retrieval with Self-Supervision


InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data


InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models


InsTaG: Learning Personalized 3D Talking Head from Few-Second Video


InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction


Inscriptis -- A Python-based HTML to text conversion library optimized for knowledge extraction from the Web


Insect Identification in the Wild: The AMI Dataset


Insecure Until Proven Updated: Analyzing AMD SEV's Remote Attestation


Insense: Incoherent Sensor Selection for Sparse Signals


Insert or Attach: Taxonomy Completion via Box Embedding


InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture


InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules


Inserting Anybody in Diffusion Models via Celeb Basis


Inserting Information Bottlenecks for Attribution in Transformers


Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter


Inside-out cross-covariance for spatial multivariate data


Insight Over Sight? Exploring the Vision-Knowledge Conflicts in Multimodal LLMs


Insight into liquid polymorphism from the complex phase behaviour of a simple model


Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models


InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation


InsightiGen: a versatile tool to generate insight for an academic systematic literature review


Insights Into the Inner Workings of Transformer Models for Protein Function Prediction


Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design


Insights from the Use of Previously Unseen Neural Architecture Search Datasets


Insights into Analogy Completion from the Biomedical Domain


Insights into Binary Neutron Star Merger Simulations: A Multi-Code Comparison


Insights into Dark Matter Direct Detection Experiments: Decision Trees versus Deep Learning


Insights into Efficiency and Satisfaction Trade-offs in Facility Location Problems with Regional Preferences


Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell


Insights into Lunar Mineralogy: An Unsupervised Approach for Clustering of the Moon Mineral Mapper (M3) spectral data


Insights into Pre-training via Simpler Synthetic Tasks


Insights into cation ordering of double perovskite oxides from machine learning and causal relations


Insights into performance evaluation of com-pound-protein interaction prediction methods


Insights into regression-based cross-temporal forecast reconciliation


Insights into the explainability of Lasso-based DeePC for nonlinear systems


Insights into undergraduate pathways using course load analytics


Insights on Galaxy Evolution from Interpretable Sparse Feature Networks


Inspecting class hierarchies in classification-based metric learning models


Inspecting state of the art performance and NLP metrics in image-based medical report generation


Inspection planning under execution uncertainty


Inspection-Guided Randomization: A Flexible and Transparent Restricted Randomization Framework for Better Experimental Design


InspectorRAGet: An Introspection Platform for RAG Evaluation


Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative Writing


Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning


Inst-Inpaint: Instructing to Remove Objects with Diffusion Models


Inst3D-LMM: Instance-Aware 3D Scene Understanding with Multi-modal Instruction Tuning


InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators


InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language Models


InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting


InstaFormer: Instance-Aware Image-to-Image Translation with Transformer


InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning


InstaIndoor and Multi-modal Deep Learning for Indoor Scene Recognition


InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content Detection


Instability Analysis of Massive Static Phantom Wormholes via the Spectral Method


Instagram Fake and Automated Account Detection


Instagram Filter Removal on Fashionable Images


InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation


Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation


Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation


Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation


Instance Localization for Self-supervised Detection Pretraining


Instance Regularization for Discriminative Language Model Pre-training


Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection


Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance Segmentation


Instance Segmentation and Teeth Classification in Panoramic X-rays


Instance Segmentation for Autonomous Log Grasping in Forestry Operations


Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks


Instance Segmentation for Direct Measurements of Satellites in Metal Powders and Automated Microstructural Characterization from Image Data


Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks


Instance Segmentation of Biological Images Using Harmonic Embeddings


Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints


Instance Segmentation of Microscopic Foraminifera


Instance Segmentation under Occlusions via Location-aware Copy-Paste Data Augmentation


Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning


Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization


Instance Semantic Segmentation Benefits from Generative Adversarial Networks


Instance Similarity Learning for Unsupervised Feature Representation


Instance Temperature Knowledge Distillation


Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments


Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets


Instance based Generalization in Reinforcement Learning


Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams


Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation


Instance-Aware Domain Generalization for Face Anti-Spoofing


Instance-Aware Predictive Navigation in Multi-Agent Environments


Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition


Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees


Instance-Conditional Knowledge Distillation for Object Detection


Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver


Instance-Dependent Cost-Sensitive Learning for Detecting Transfer Fraud


Instance-Dependent Partial Label Learning


Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback


Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration


Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain Adaptation


Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation


Instance-aware Prompt Learning for Language Understanding and Generation


Instance-based Counterfactual Explanations for Time Series Classification


Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL Weights


Instance-based Label Smoothing For Better Calibrated Classification Networks


Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image


Instance-dependent Label Distribution Estimation for Learning with Label Noise


Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation


Instance-level Few-shot Learning with Class Hierarchy Mining


Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval


Instance-level Human Parsing via Part Grouping Network


Instance-level Image Retrieval using Reranking Transformers


Instance-level quantitative saliency in multiple sclerosis lesion segmentation


Instance-specific 6-DoF Object Pose Estimation from Minimal Annotations


Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation


Instance-specific linear relaxations of semidefinite optimization problems


Instance-wise Causal Feature Selection for Model Interpretation


Instance-wise Graph-based Framework for Multivariate Time Series Forecasting


Instance-wise Occlusion and Depth Orders in Natural Scenes


Instance-wise Supervision-level Optimization in Active Learning


Instance-wise algorithm configuration with graph neural networks


InstanceDiffusion: Instance-level Control for Image Generation


InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level


InstanceFormer: An Online Video Instance Segmentation Framework


InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring


Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance


Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification


Instant AoI Optimization through Relay Location Selection in Disaster Multi-hop Communication


Instant Gaussian Stream: Fast and Generalizable Streaming of Dynamic Scene Reconstruction via Gaussian Splatting


Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks


Instant Multi-View Head Capture through Learnable Registration


Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition


Instant Particle Size Distribution Measurement Using CNNs Trained on Synthetic Data


Instant Reality: Gaze-Contingent Perceptual Optimization for 3D Virtual Reality Streaming


Instant Representation Learning for Recommendation over Large Dynamic Graphs


Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference


Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models


Instant Visual Odometry Initialization for Mobile AR


Instant recovery of shape from spectrum via latent space connections


Instant3D: Instant Text-to-3D Generation


InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework


InstantGeoAvatar: Effective Geometry and Appearance Modeling of Animatable Avatars from Monocular Video


InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models


InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks


InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds


InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation


InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences


Instantaneous Frequency Estimation in Multicomponent Signals in Case of Interference Based on the Prony Method


Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding


Instantaneous PSD Estimation for Speech Enhancement based on Generalized Principal Components


Instantaneous Physiological Estimation using Video Transformers


Instantaneous Wireless Robotic Node Localization Using Collaborative Direction of Arrival


Instantaneous and limiting behavior of an n-node blockchain under cyber attacks from a single hacker


Instantaneous physics-based ground motion maps using reduced-order modeling


Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation


Instate: Predicting the State of Residence From Last Name


Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients


Instilling Inductive Biases with Subnetworks


Instilling Type Knowledge in Language Models via Multi-Task QA


Institutional Books 1.0: A 242B token dataset from Harvard Library's collections, refined for accuracy and usability


Instruct Large Language Models to Drive like Humans


Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue


Instruct and Extract: Instruction Tuning for On-Demand Information Extraction


Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering


Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging


Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning


Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning


Instruct-Video2Avatar: Video-to-Avatar Generation with Instructions


Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model


InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis


InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification


InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuning


InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following


InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation


InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems


InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists


InstructDET: Diversifying Referring Object Detection with Generalized Instructions


InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning


InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions


InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models


InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions


InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing


InstructG2I: Synthesizing Images from Multimodal Attributed Graphs


InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment


InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery


InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image


InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales


InstructRestore: Region-Customized Image Restoration with Human Instructions


InstructRobot: A Model-Free Framework for Mapping Natural Language Instructions into Robot Motion


InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition


InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models


InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models


InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems


InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech Systems


InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction


Instructed Language Models with Retrievers Are Powerful Entity Linkers


Instructing Large Language Models to Identify and Ignore Irrelevant Conditions


Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization


Instruction Backdoor Attacks Against Customized LLMs


Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset


Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments


Instruction Fusion: Advancing Prompt Evolution through Hybridization


Instruction Induction: From Few Examples to Natural Language Task Descriptions


Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks


Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model


Instruction Position Matters in Sequence Generation with Large Language Models


Instruction Tuned Models are Quick Learners


Instruction Tuning With Loss Over Instructions


Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis


Instruction Tuning for Large Language Models: A Survey


Instruction Tuning for Secure Code Generation


Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis


Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models


Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model


Instruction-Driven Game Engines on Large Language Models


Instruction-Following Agents with Multimodal Transformer


Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts


Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era


Instruction-Tuned Video-Audio Models Elucidate Functional Specialization in the Brain


Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction


Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction


Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model


Instruction-tuned Language Models are Better Knowledge Learners


Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks


Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions


Instructive Dialogue Summarization with Query Aggregations


Instructive Feature Enhancement for Dichotomous Medical Image Segmentation


Instrument Separation of Symbolic Music by Explicitly Guided Diffusion Model


Instrument Signature Removal and Calibration Products for the Rubin Legacy Survey of Space and Time


Instrument Space Selection for Kernel Maximum Moment Restriction


Instrumental Variable Estimation of Distributional Causal Effects


Instrumental Variable Identification of Dynamic Variance Decompositions


Instrumental Variable Regression via Kernel Maximum Moment Loss


Instrumental Variables in Causal Inference and Machine Learning: A Survey


Insurance pricing with hierarchically structured data: An illustration with a workers' compensation insurance portfolio


Int2Int: a framework for mathematics with transformers


IntLIM: Integration using Linear Models of metabolomics and gene expression data


IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments


IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning


IntSGD: Adaptive Floatless Compression of Stochastic Gradients


InteLiPlan: An Interactive Lightweight LLM-Based Planner for Domestic Robot Autonomy


Integer Discrete Flows and Lossless Compression


Integer Factorization By Sieving The Delta


Integer Programming for Causal Structure Learning in the Presence of Latent Variables


Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models


Integer Traffic Assignment Problem: Algorithms and Insights on Random Graphs


Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares


Integer-Only Neural Network Quantization Scheme Based on Shift-Batch-Normalization


Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection


Integers that are sums of two rational sixth powers


Integrability and Linearizability of a Family of Three-Dimensional Polynomial Systems


Integrability and action-angle-based solution of the post-Newtonian BBH system (lecture notes)


Integrability of geodesics of totally geodesic metrics


Integrable Model of Topological SO(5) Superfluidity


Integral Probability Metrics PAC-Bayes Bounds


Integral differential forms for superelliptic curves


Integral equations for flexural-gravity waves: analysis and numerical methods


Integral of the double-emission eikonal function for a massive and a massless emitter at an arbitrary angle


Integral points on cubic surfaces: heuristics and numerics


IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos


Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection


Integrals over Gaussians under Linear Domain Constraints


Integrate Any Omics: Towards genome-wide data integration for patient stratification


Integrate Meta-analysis into Specific Study (InMASS) for Estimating Conditional Average Treatment Effect


Integrate Multi-omic Data Using Affinity Network Fusion (ANF) for Cancer Patient Clustering


Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation


Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness


Integrated Balanced and Staggered Routing in Autonomous Mobility-on-Demand Systems


Integrated Bayesian non-parametric spatial modeling for cross-sample identification of spatially variable genes


Integrated Behavior Planning and Motion Control for Autonomous Vehicles with Traffic Rules Compliance


Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics


Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision


Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networks


Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring


Integrated Hardware Architecture and Device Placement Search


Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach


Integrated Imaging and Communication with Reconfigurable Intelligent Surfaces


Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification


Integrated Multi-Simulation Environments for Aerial Robotics Research


Integrated Parameter-Efficient Tuning for General-Purpose Audio Models


Integrated Principal Components Analysis


Integrated Resource Allocation and Strategy Synthesis in Safety Games on Graphs with Deception


Integrated Semantic and Phonetic Post-correction for Chinese Speech Recognition


Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery


Integrated Visualization Editing via Parameterized Declarative Templates


Integrated community occupancy models: A framework to assess occurrence and biodiversity dynamics using multiple data sources


Integrated differential analysis of multi-omics data using a joint mixture model: idiffomix


Integrated feature analysis for deep learning interpretation and class activation maps


Integrated modelling approaches for sustainable agri-economic growth and environmental improvement: Examples from Canada, Greece, and Ireland


Integrated multimodal artificial intelligence framework for healthcare applications


Integrated nowcasting of convective precipitation with Transformer-based models using multi-source data


Integrated optimization of operations and capacity planning under uncertainty for drayage procurement in container logistics


Integrated or Segregated? User Behavior Change after Cross-Party Interactions on Reddit


Integrated patient-to-room and nurse-to-patient assignment in hospital wards


Integrated sidelobe cancellation and linear prediction Kalman filter for joint multi-microphone speech dereverberation, interfering speech cancellation, and noise reduction


IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction


Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'


Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open Worlds


Integrating Biological Knowledge in Kernel-Based Analyses of Environmental Mixtures and Health


Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation


Integrating Captive Portal Technology into Computer Science Education: A Modular, Hands-On Approach to Infrastructure


Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering


Integrating Clinical Knowledge into Concept Bottleneck Models


Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images


Integrating Curricula with Replays: Its Effects on Continual Learning


Integrating Deep Event-Level and Script-Level Information for Script Event Prediction


Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation


Integrating Deep Reinforcement Learning Networks with Health System Simulations


Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving


Integrating Diffusion-based Multi-task Learning with Online Reinforcement Learning for Robust Quadruped Robot Control


Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations


Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework


Integrating Expert Knowledge into Logical Programs via LLMs


Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis


Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression


Integrating Fast Regional Optimization into Sampling-based Kinodynamic Planning for Multirotor Flight


Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word Embeddings


Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion


Integrating Generative AI into Art Therapy: A Technical Showcase


Integrating Graceful Degradation and Recovery through Requirement-driven Adaptation


Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Prediction


Integrating Holistic and Local Information to Estimate Emotional Reaction Intensity


Integrating Human Gaze into Attention for Egocentric Activity Recognition


Integrating Human Parsing and Pose Network for Human Action Recognition


Integrating Hyperparameter Search into Model-Free AutoML with Context-Free Grammars


Integrating IP Broadcasting with Audio Tags: Workflow and Challenges


Integrating Immersive Technologies for Algorithmic Design in Architecture


Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces


Integrating LLM-Generated Views into Mean-Variance Optimization Using the Black-Litterman Model


Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity


Integrating LSTMs and GNNs for COVID-19 Forecasting


Integrating Language Guidance into Vision-based Deep Metric Learning


Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detection


Integrating Large Circular Kernels into CNNs through Neural Architecture Search


Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data


Integrating Listwise Ranking into Pairwise-based Image-Text Retrieval


Integrating Local Context and Global Cohesiveness for Open Information Extraction


Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems


Integrating Material Selection with Design Optimization via Neural Networks


Integrating MedCLIP and Cross-Modal Fusion for Automatic Radiology Report Generation


Integrating Model-Based Footstep Planning with Model-Free Reinforcement Learning for Dynamic Legged Locomotion


Integrating Molecular Dynamics Simulations and Experimental Data for Azeotrope Predictions in Binary Mixtures


Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation


Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality Detection


Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics


Integrating Multimodal Information in Large Pretrained Transformers


Integrating Multiple Data Sources with Interactions in Multi-Omics Using Cooperative Learning


Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim


Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description


Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling


Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation


Integrating One-Shot View Planning with a Single Next-Best View via Long-Tail Multiview Sampling


Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination


Integrating Optimal Transport and Structural Inference Models for GRN Inference from Single-cell Data


Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning


Integrating Phase 2 into Phase 3 based on an Intermediate Endpoint While Accounting for a Cure Proportion


Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback


Integrating Physics Inspired Features with Graph Convolution


Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction


Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty Quantification


Integrating Pre-Trained Language Model with Physical Layer Communications


Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds


Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model


Integrating Present and Past in Unsupervised Continual Learning


Integrating Prior Knowledge in Contrastive Learning with Kernel


Integrating Python data analysis in an existing introductory laboratory course


Integrating Quantum Algorithms with Gravitational-Wave Metrology for Enhanced Signal Detection


Integrating Randomized Controlled Trial and External Control Data Using Balancing Weights: A Comparison of Estimands and Estimators


Integrating Randomness in Large Language Models: A Linear Congruential Generator Approach for Generating Clinically Relevant Content


Integrating Rankings into Quantized Scores in Peer Review


Integrating Recurrence Dynamics for Speech Emotion Recognition


Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids


Integrating Reinforcement Learning with Foundation Models for Autonomous Robotics: Methods and Perspectives


Integrating Reinforcement Learning, Action Model Learning, and Numeric Planning for Tackling Complex Tasks


Integrating Relation Constraints with Neural Relation Extractors


Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection


Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare


Integrating Statistical Significance and Discriminative Power in Pattern Discovery


Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex


Integrating Supertag Features into Neural Discontinuous Constituent Parsing


Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices


Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts


Integrating Traditional and Deep Learning Methods to Detect Tree Crowns in Satellite Images


Integrating Transformer and Paraphrase Rules for Sentence Simplification


Integrating Translation Memories into Non-Autoregressive Machine Translation


Integrating Uncertainty Awareness into Conformalized Quantile Regression


Integrating Uncertainty into Neural Network-based Speech Enhancement


Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair


Integrating Vectorized Lexical Constraints for Neural Machine Translation


Integrating View Conditions for Image Synthesis


Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval


Integrating Visual and Textual Inputs for Searching Large-Scale Map Collections with CLIP


Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation


Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet


Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates


Integrating complex selection rules into the latent overlapping group Lasso for constructing coherent prediction models


Integrating curation into scientific publishing to train AI models


Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification


Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories


Integrating large language models and active inference to understand eye movements in reading and dyslexia


Integrating question answering and text-to-SQL in Portuguese


Integrating socioeconomic and geographic data to enhance infectious disease prediction in Brazilian cities


Integrating supervised and reinforcement learning for predictive control with an unmodulated pyramid wavefront sensor for adaptive optics


Integrating tumor burden with survival outcome for treatment effect evaluation in oncology trials


Integration Matters for Learning PDEs with Backwards SDEs


Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People


Integration of Contrastive Predictive Coding and Spiking Neural Networks


Integration of Convolutional Neural Networks in Mobile Applications


Integration of Genetic Algorithms and Deep Learning for the Generation and Bioactivity Prediction of Novel Tyrosine Kinase Inhibitors


Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery


Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework


Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing


Integration of Physics-Derived Memristor Models with Machine Learning Frameworks


Integration of Pre-trained Protein Language Models into Geometric Deep Learning Networks


Integration of Skyline Queries into Spark SQL


Integration of Text and Graph-based Features for Detecting Mental Health Disorders from Voice


Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities


Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models


Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation


Integration of rule-based models and compartmental models of neurons


Integration of variational autoencoder and spatial clustering for adaptive multi-channel neural speech separation


Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes


Integrative Analysis for COVID-19 Patient Outcome Prediction


Integrative Decoding: Improve Factuality via Implicit Self-consistency


Integrative Few-Shot Learning for Classification and Segmentation


Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models


Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers


Integrative decomposition of multi-source data by identifying partially-joint score subspaces


Integrators on homogeneous spaces: Isotropy choice and connections


Integração e Entrega Contínua para aplicações móveis desenvolvidas em React Native


Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52


Intel RealSense Stereoscopic Depth Cameras


IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems


IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge Delivery


IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model


Intellectual Property Protection of Diffusion Models via the Watermark Diffusion Process


IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification


IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models


IntelliTC: Automating Type Changes in IntelliJ IDEA


Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks


Intelligent Active Queue Management Using Explicit Congestion Notification


Intelligent Artistic Typography: A Comprehensive Review of Artistic Text Design and Generation


Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM


Intelligent Client Selection for Federated Learning using Cellular Automata


Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning


Intelligent Fish Detection System with Similarity-Aware Transformer


Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models


Intelligent IoT Attack Detection Design via ODLLM with Feature Ranking-based Knowledge Base


Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers


Intelligent LiDAR Navigation: Leveraging External Information and Semantic Maps with LLM as Copilot


Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis


Intelligent Multi-View Test Time Augmentation


Intelligent Painter: Picture Composition With Resampling Diffusion Model


Intelligent Reflecting Surface Configurations for Smart Radio Using Deep Reinforcement Learning


Intelligent Reflecting Surface Operation under Predictable Receiver Mobility: A Continuous Time Propagation Model


Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations


Intelligent Spatial Interpolation-based Frost Prediction Methodology using Artificial Neural Networks with Limited Local Data


Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach


Intelligent Traffic Light via Policy-based Deep Reinforcement Learning


Intelligent Traffic Monitoring with Distributed Acoustic Sensing


Intelligent Trainer for Model-Based Reinforcement Learning


Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication


Intelligent Word Embeddings of Free-Text Radiology Reports


Intelligent control of a single-link flexible manipulator using sliding modes and artificial neural networks


Intelligible Lip-to-Speech Synthesis with Speech Units


Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope


Intensity Confusion Matters: An Intensity-Distance Guided Loss for Bronchus Segmentation


Intensity Estimation on Geometric Networks with Penalized Splines


Intensity Image-based LiDAR Fiducial Marker System


Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection


Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild


Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment


Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation


Intensity-based 3D motion correction for cardiac MR images


Intensity-free Integral-based Learning of Marked Temporal Point Processes


Intensity-sensitive quality assessment of extended sources in astronomical images


Intensive Care as One Big Sequence Modeling Problem


Intent Classification and Slot Filling for Privacy Policies


Intent Contrastive Learning for Sequential Recommendation


Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation


Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations


Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti


Intent Factored Generation: Unleashing the Diversity in Your Language Model


Intent Features for Rich Natural Language Understanding


Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages


Intent Mining from past conversations for conversational agent


Intent Prediction-Driven Model Predictive Control for UAV Planning and Navigation in Dynamic Environments


Intent Recognition in Smart Living Through Deep Recurrent Neural Networks


Intent Representation Learning with Large Language Model for Recommendation


Intent term selection and refinement in e-commerce queries


Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoT


Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation


Intent-aware Ranking Ensemble for Personalized Recommendation


Intent-based Radio Scheduler for RAN Slicing: Learning to deal with different network scenarios


Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation


IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation


IntentVizor: Towards Generic Query Guided Interactive Video Summarization


Intention Adaptive Graph Neural Network for Category-aware Session-based Recommendation


Intention Analysis Makes LLMs A Good Jailbreak Defender


Intention Recognition in Real-Time Interactive Navigation Maps


Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation


Intention-Aware Control Based on Belief-Space Specifications and Stochastic Expansion


Intention-Aware Navigation in Crowds with Extended-Space POMDP Planning


Intention-Conditioned Flow Occupancy Models


Intention-Conditioned Long-Term Human Egocentric Action Forecasting


IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce


Intentional Control of Type I Error over Unconscious Data Distortion: a Neyman-Pearson Approach to Text Classification


Intentonomy: a Dataset and Study towards Human Intent Understanding


Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation


Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State


Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting


Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation


Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error


Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning


Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach


Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning


Inter-Image Communication for Weakly Supervised Localization


Inter-Instance Similarity Modeling for Contrastive Learning


Inter-Level Cooperation in Hierarchical Reinforcement Learning


Inter-Party Avalanche Involvements May Increase Quadratically With Party Density


Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks


Inter-Region Affinity Distillation for Road Marking Segmentation


Inter-Series Attention Model for COVID-19 Forecasting


Inter-Session Modeling for Session-Based Recommendation


Inter-X: Towards Versatile Human-Human Interaction Analysis


Inter-domain Multi-relational Link Prediction


Inter-intra Variant Dual Representations forSelf-supervised Video Recognition


Inter-layer Transition in Neural Architecture Search


Inter-regional correlation estimators for functional magnetic resonance imaging


Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction


InterCLIP-MEP: Interactive CLIP and Memory-Enhanced Predictor for Multi-modal Sarcasm Detection


InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback


InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion


InterEvo-TR: Interactive Evolutionary Test Generation With Readability Assessment


InterFace:Adjustable Angular Margin Inter-class Loss for Deep Face Recognition


InterFeat: An Automated Pipeline for Finding Interesting Hypotheses in Structured Biomedical Data


InterFormer: Real-time Interactive Image Segmentation


InterFusion: Text-Driven Generation of 3D Human-Object Interaction


InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions


InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving


InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context


InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning


InterMask: 3D Human Interaction Generation via Collaborative Masked Modelling


InterMat: Accelerating Band Offset Prediction in Semiconductor Interfaces with DFT and Deep Learning


InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions


InterNet: Unsupervised Cross-modal Homography Estimation Based on Interleaved Modality Transfer and Self-supervised Homography Prediction


InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders


InterPhon: Ab initio Interface Phonon Calculations within a 3D Electronic Structure Framework


InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning


InterQ: A DQN Framework for Optimal Intermittent Control


InterSim: Interactive Traffic Simulation via Explicit Relation Modeling


InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation


Interact with me: Joint Egocentric Forecasting of Intent to Interact, Attitude and Social Actions


Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions


InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models


InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions


InteractVLM: 3D Interaction Reasoning from 2D Foundational Models


Interacting Attention Graph for Single Image Two-Hand Reconstruction


Interacting Diffusion Processes for Event Sequence Forecasting


Interacting Hawkes processes with multiplicative inhibition


Interacting Particle Markov Chain Monte Carlo


Interacting contagions are indistinguishable from social reinforcement


Interacting discovery processes on complex networks


Interaction Asymmetry: A General Principle for Learning Composable Abstractions


Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations


Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions


Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning


Interaction Relational Network for Mutual Action Recognition


Interaction Testing in Variation Analysis


Interaction Transformer for Human Reaction Generation


Interaction graph-based characterization of quantum benchmarks for improving quantum circuit mapping techniques


Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions


Interaction-Aware Prompting for Zero-Shot Spatio-Temporal Action Detection


Interaction-Force Transport Gradient Flows


Interaction-GCN: A Graph Convolutional Network based framework for social interaction recognition in egocentric videos


Interaction-Guided Two-Branch Image Dehazing Network


Interaction-Transformation Evolutionary Algorithm for Symbolic Regression


Interaction-aware Conformal Prediction for Crowd Navigation


Interaction-aware Joint Attention Estimation Using People Attributes


Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping


InteractionNet: Joint Planning and Prediction for Autonomous Driving with Transformers


Interactions in information spread: quantification and interpretation using stochastic block models


Interactive 3D Medical Image Segmentation with SAM 2


Interactive Acquisition of Fine-grained Visual Concepts by Exploiting Semantics of Generic Characterizations in Discourse


Interactive Agents to Overcome Ambiguity in Software Engineering


Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions


Interactive All-Hex Meshing via Cuboid Decomposition


Interactive Causal Structure Discovery in Earth System Sciences


Interactive Character Control with Auto-Regressive Motion Diffusion Models


Interactive Classification by Asking Informative Questions


Interactive Classification for Deep Learning Interpretation


Interactive Continual Learning: Fast and Slow Thinking


Interactive Control over Temporal Consistency while Stylizing Video Streams


Interactive Data Analysis with Next-step Natural Language Query Recommendation


Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs Collaboration


Interactive Debugging and Steering of Multi-Agent AI Systems


Interactive Diagrams for Software Documentation


Interactive Disambiguation for Behavior Tree Execution


Interactive Discovery System for Direct Democracy


Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations


Interactive Distance Field Mapping and Planning to Enable Human-Robot Collaboration


Interactive Editing for Text Summarization


Interactive Exploration and Discovery of Scientific Publications with PubVis


Interactive Face Video Coding: A Generative Compression Framework


Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning


Interactive Fusion of Multi-level Features for Compositional Activity Recognition


Interactive Gadolinium-Free MRI Synthesis: A Transformer with Localization Prompt Learning


Interactive Geometry Editing of Neural Radiance Fields


Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning


Interactive Image Inpainting Using Semantic Guidance


Interactive Image Segmentation with Cross-Modality Vision Transformers


Interactive Image Synthesis with Panoptic Layout Generation


Interactive Imitation Learning in State-Space


Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning


Interactive Label Cleaning with Example-based Explanations


Interactive Language Learning by Question Answering


Interactive Latent Interpolation on MNIST Dataset


Interactive Learning for Semantic Segmentation in Earth Observation


Interactive Learning from Activity Description


Interactive Learning from Multiple Noisy Labels


Interactive Learning in Computer Science Education Supported by a Discord Chatbot


Interactive Learning of Physical Object Properties Through Robot Manipulation and Database of Object Measurements


Interactive Machine Comprehension with Dynamic Knowledge Graphs


Interactive Machine Comprehension with Information Seeking Agents


Interactive Machine Learning of Musical Gesture


Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots


Interactive Medical Image Analysis with Concept-based Similarity Reasoning


Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning


Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline


Interactive Molecular Discovery with Natural Language


Interactive Multi Interest Process Pattern Discovery


Interactive Multi-Class Tiny-Object Detection


Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration


Interactive Natural Language-based Person Search


Interactive Navigation for Legged Manipulators with Learned Arm-Pushing Controller


Interactive Power to Frequency Dynamics Between Grid-Forming Inverters and Synchronous Generators in Power Electronics-Dominated Power Systems


Interactive Refinement of Cross-Lingual Word Embeddings


Interactive Rendering of Relightable and Animatable Gaussian Avatars


Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition


Interactive Static Software Performance Analysis in the IDE


Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation


Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach


Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations


Interactive Text-to-Speech System via Joint Style Analysis


Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration


Interactive Video Object Segmentation Using Global and Local Transfer Modules


Interactive Visual Analysis of Spatial Sensitivities


Interactive Visualization and Representation Analysis Applied to Glacier Segmentation


Interactive Visualization of Spatial Omics Neighborhoods


Interactive Volume Visualization via Multi-Resolution Hash Encoding based Neural Representation


Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling


Interactive White Balancing for Camera-Rendered Images


Interactive and Explainable Region-guided Radiology Report Generation


Interactive and Iterative Peer Assessment


Interactive configurator with FO(.) and IDP-Z3


Interactive exploration of population scale pharmacoepidemiology datasets


Interactive incremental learning of generalizable skills with local trajectory modulation


Interactive multi-modal motion planning with Branch Model Predictive Control


Interactive query expansion for professional search applications


Interactive simulation and visualization of point spread functions in single molecule imaging


Interactive tools for making temporally variable, multiple-attributes, and multiple-instances morphing accessible: Flexible manipulation of divergent speech instances for explorational research and education


Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models


Interactive4D: Interactive 4D LiDAR Segmentation


InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System


Interactively Learning Preference Constraints in Linear Bandits


Interactively Learning Social Media Representations Improves News Source Factuality Detection


Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions


Interactively Providing Explanations for Transformer Language Models


Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback


Interactiveness Field in Human-Object Interactions


Interacto: A Modern User Interaction Processing Model


Interactron: Embodied Adaptive Object Detection


Intercensal updating using structure-preserving methods and satellite imagery


Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations Across Media Using Complex Networks


Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling


Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection


Interdiction of minimum spanning trees and other matroid bases


Interdisciplinary researchers attain better performance in funding


Interest-Aware Joint Caching, Computing, and Communication Optimization for Mobile VR Delivery in MEC Networks


Interest-aware Message-Passing GCN for Recommendation


Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)


Interesting Object, Curious Agent: Learning Task-Agnostic Exploration


Interface Design for Self-Supervised Speech Models


Interface tool from Wannier90 to RESPACK: wan2respack


Interface-Driven Peptide Folding: Quantum Computations on Simulated Membrane Surfaces


Interfacial Cavitation with Surface Tension: New Insights into Failure of Particle Reinforced Polymers


Interfacial Effects Determine Nonequilibrium Phase Behaviors in Chemically Driven Fluids


Interfacial Effects on Solid Electrolyte Interphase in Lithium-ion Batteries


Interference Effects in $t{\bar t}$ Production at the LHC as a Window on New Physics


Interference Prediction Using Gaussian Process Regression and Management Framework for Critical Services in Local 6G Networks


Interference between the modes of an all-dielectric meta-atom


Interference effects in dilepton resonance searches for Z' bosons and dark matter mediators


Interference effects in resonant di-Higgs production at the LHC in the Higgs singlet extension


Interference suppression techniques for OPM-based MEG: Opportunities and challenges


Interference-Aware Edge Runtime Prediction with Conformal Matrix Completion


Interferobot: aligning an optical interferometer by a reinforcement learning agent


Interferometer response characterization algorithm for multi-aperture Fabry-Perot imaging spectrometers


Interferometric Graph Transform: a Deep Unsupervised Graph Representation


Interferometric Imaging with LOFAR Remote Baselines of the Fine Structures of a Solar Type IIIb Radio Burst


Interferometric modal splitting enables a broadband, dual-polarization on-chip spectrometer


Intergenerational Equitable Climate Change Mitigation: Negative Effects of Stochastic Interest Rates; Positive Effects of Financing


Intergrated Segmentation and Detection Models for Dentex Challenge 2023


Interim Monitoring in Sequential Multiple Assignment Randomized Trials


Interior Point Differential Dynamic Programming, Redux


Interior Point Methods for Structured Quantum Relative Entropy Optimization Problems


Interior Point Solving for LP-based prediction+optimisation


Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem


Interlaced scan patterns based on progressive hexagonal grids


Interleaved snowballing: Reducing the workload of literature curators


Interleaving Fast and Slow Decision Making


Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter


Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection


Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation


Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions


Interlinking User Stories and GUI Prototyping: A Semi-Automatic LLM-based Approach


Interlocking Backpropagation: Improving depthwise model-parallelism


Interlocking-free Selective Rationalization Through Genetic-based Learning


Intermediate Gradient Methods with Relative Inexactness


Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning


Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation


Intermediate Qutrit-based Improved Quantum Arithmetic Operations with Application on Financial Derivative Pricing


Intermediate modular curves with infinitely many quartic points


Intermittent Connectivity for Exploration in Communication-Constrained Multi-Agent Systems


Intermittent Deployment for Large-Scale Multi-Robot Forage Perception: Data Synthesis, Prediction, and Planning


Intermittent Inverse-Square Lévy Walks are Optimal for Finding Targets of All Sizes


Intermittent Learning: On-Device Machine Learning on Intermittently Powered System


Intermittent Opportunistic Routing Components for the INET Framework


Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization


InternLM-Law: An Open Source Chinese Legal Large Language Model


InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression


InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges


Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors


Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs


Internal Consistency and Self-Feedback in Large Language Models: A Survey


Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning


Internal Dynamics of Multiple Populations in 28 Galactic Globular Clusters: A Wide-Field study with Gaia and the Hubble Space Telescope


Internal Incoherency Scores for Constraint-based Causal Discovery Algorithms


Internal Video Inpainting by Implicit Long-range Propagation


Internal acoustic resonances: small scattering center compared with the wavelength


Internal noise interference to warnings of tipping points in generic multi-dimensional dynamical systems


Internal tide generation from non-uniform barotropic body forcing


Internally Rewarded Reinforcement Learning


Internally heated and fully compressible convection: flow morphology and scaling laws


International System of Quantities library in VDM


Internet Congestion Control Benchmarking


Internet Explorer: Targeted Representation Learning on the Open Web


Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence


Internet of Drones Simulator: Design, Implementation, and Performance Evaluation


Internet sentiment exacerbates intraday overtrading, evidence from A-Share market


Interoceptive Robots for Convergent Shared Control in Collaborative Construction Work


Interoceptive robustness through environment-mediated morphological development


Interoperability in the IoT -- An Evaluation of the Semantic-Based Approach


InterpNET: Neural Introspection for Interpretable Deep Learning


Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History


Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance Analysis


Interplay between Nucleation and Kinetics in Dynamic Twinning


Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm


Interplay between competitive and cooperative interactions in a three-player pathogen system


Interplay between fractional quantum Hall liquid and crystal phases at low filling


Interplay between risk perception, behaviour, and COVID-19 spread


Interplay of Stellar and Gas-Phase Metallicities: Unveiling Insights for Stellar Feedback Modeling with Illustris, IllustrisTNG, and EAGLE


Interplay of epidemic spreading and vaccine uptake under complex social contagion


Interplay of superexchange and vibronic effects in the hidden order of Ba$_2$MgReO$_6$ from first principles


Interpolated SelectionConv for Spherical Images and Surfaces


Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm


Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians


Interpolating Population Distributions using Public-use Data: An Application to Income Segregation using American Community Survey Data


Interpolating between Optimal Transport and KL regularized Optimal Transport using Rényi Divergences


Interpolating between Optimal Transport and MMD using Sinkhorn Divergences


Interpolating between the Jaccard distance and an analogue of the normalized information distance


Interpolating neural network: A novel unification of machine learning and interpolation theory


Interpolation and differentiation of alchemical degrees of freedom in machine learning interatomic potentials


Interpolation in Weighted Projective Spaces


Interpolation of Instrument Response Functions for the Cherenkov Telescope Array in the Context of pyirf


Interpolation techniques for reconstructing Galactic Faraday rotation


Interpolation-based immersed finite element and isogeometric analysis


Interpolations of Smoke and Liquid Simulations


InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation


Interprecision transfers in iterative refinement


Interpret Federated Learning with Shapley Values


Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification


Interpret and Control Dense Retrieval with Sparse Latent Features


Interpret the Internal States of Recommendation Model with Sparse Autoencoder


Interpretability Illusions with Sparse Autoencoders: Evaluating Robustness of Concept Representations


Interpretability for Language Learners Using Example-Based Grammatical Error Correction


Interpretability in Contact-Rich Manipulation via Kinodynamic Images


Interpretability of Fine-grained Classification of Sadness and Depression


Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and Quantification