mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 14 Feb 2025

275 papers

  1. A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and EvaluationsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  2. Sparse Shift Autoencoders for Identifying Concepts from Large Language Model ActivationsMechanistic interpretability → SAE features and their applications
  3. Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario GenerationDiffusion models → Diffusion and flow policies for robotics
  4. Ten Challenging Problems in Federated Foundation ModelsLLM safety and security → Federated unlearning and poisoning
  5. Safety-Critical Human-Machine Shared Driving for Vehicle Collision Avoidance based on Hamilton-Jacobi reachabilityEnd-to-end autonomous driving → Reinforcement learning for driving
  6. HIPPo: Harnessing Image-to-3D Priors for Model-free Zero-shot 6D Pose EstimationDiffusion models → 3D, point cloud and scene generation
  7. Post-training an LLM for RAG? Train on Self-Generated DemonstrationsRetrieval-augmented generation → RAG pipeline design and evaluation +1
  8. Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical PerspectiveLLM reasoning → Reinforcement learning for reasoning
  9. Classifier-free Guidance with Adaptive ScalingDiffusion models → Diffusion foundations and sampling
  10. Accelerating Unbiased LLM Evaluation via Synthetic FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  11. Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  12. PolyPath: Adapting a Large Multimodal Model for Multi-slide Pathology Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
  13. Towards Watermarking of Open-Source LLMsLLM safety and security → Watermarking generated content and models
  14. The Role of World Models in Shaping Autonomous Driving: A Comprehensive SurveyWorld models → World models for autonomous driving +1
  15. Hallucinations and Truth: A Comprehensive Accuracy Evaluation of RAG, LoRA and DoRARetrieval-augmented generation → RAG pipeline design and evaluation
  16. SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  17. Fast Proxies for LLM Robustness EvaluationLLM safety and security → Jailbreaking
  18. VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment GapMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
  19. MM-RLHF: The Next Step Forward in Multimodal LLM AlignmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  20. Region-Adaptive Sampling for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
  21. Dimension-free Score Matching and Time Bootstrapping for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  22. Agentic Verification for Ambiguous Query DisambiguationRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
  23. Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question AnsweringLLM reasoning → Reasoning benchmarks and evaluation
  24. Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped RefinementDiffusion models → Diffusion foundations and sampling
  25. Process Reward Models for LLM Agents: Practical Framework and DirectionsLLM reasoning → Reinforcement learning for reasoning +2
  26. Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds InnovationsDeep reinforcement learning methods → RL for games and combinatorial optimization
  27. Adversarial Mixup UnlearningLLM safety and security → Machine unlearning
  28. Probing Perceptual Constancy in Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  29. Large Language Models and Synthetic Data for Monitoring Dataset Mentions in Research PapersSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  30. VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  31. Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise ControlDiffusion models → Diffusion foundations and sampling
  32. Do Large Language Models Reason Causally Like Us? Even Better?LLM reasoning → Causal reasoning in LLMs
  33. Dynamic Reinforcement Learning for ActorsDeep reinforcement learning methods → Deep RL algorithms and representations
  34. MathConstruct: Challenging LLM Reasoning with Constructive ProofsLLM reasoning → Mathematical reasoning
  35. Reinforcement Learning based Constrained Optimal Control: an Interpretable Reward DesignDeep reinforcement learning methods → RL theory and sample complexity
  36. From Markov to Laplace: How Mamba In-Context Learns Markov ChainsState-space sequence models (S4, Mamba) → Core SSM architectures for language
  37. Combinatorial Reinforcement Learning with Preference FeedbackDeep reinforcement learning methods → RL for games and combinatorial optimization
  38. Closed-Loop Vision-Language Planning for Multi-Agent CoordinationLLM agents and tool use → General LLM agent frameworks and benchmarks
  39. Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
  40. Causal Information Prioritization for Efficient Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  41. Towards Empowerment Gain through Causal Structure Learning in Model-Based RLDeep reinforcement learning methods → Deep RL algorithms and representations
  42. A Survey on LLM-powered Agents for Recommender SystemsLLM agents and tool use → Agentic recommender systems
  43. ViRAC: A Vision-Reasoning Agent Head Movement Control Framework in Arbitrary Virtual EnvironmentsLLM reasoning → Spatial and embodied reasoning +1
  44. Diffusion Trajectory-guided Policy for Long-horizon Robot ManipulationVision-language-action models → Efficient VLA inference and adaptation +1
  45. 3D Dynamics-Aware Manipulation: Endowing Manipulation Policies with 3D ForesightWorld models → Embodied and robot world models
  46. Unlocking Efficient Vehicle Dynamics Modeling via Analytic World ModelsWorld models → World models for autonomous driving
  47. Large Language Diffusion ModelsDiffusion models → Discrete and text diffusion
  48. X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Multi-Turn Jailbreaks without Compromising UsabilityLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  49. V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  50. LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG RoutingRetrieval-augmented generation → RAG pipeline design and evaluation
  51. Has My System Prompt Been Used? Large Language Model Prompt Membership InferenceLLM safety and security → Prompt injection and agent security
  52. Generating on Generated: An Approach Towards Self-Evolving Diffusion ModelsDiffusion models → Medical imaging and segmentation
  53. Diverse Inference and Verification for Advanced ReasoningLLM reasoning → Mathematical reasoning
  54. A Lightweight and Effective Image Tampering Localization Network with Vision MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones
  55. A Preliminary Exploration with GPT-4o Voice ModeMultimodal LLMs / vision-language models → Video understanding with MLLMs
  56. Precise Parameter Localization for Textual Generation in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  57. MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?LLM reasoning → Reasoning benchmarks and evaluation
  58. TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task TypesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  59. Self-Consistent Model-based Adaptation for Visual Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  60. A Cost-Effective Near-Storage Processing Solution for Offline Inference of Long-Context LLMsEfficient LLM inference and serving → KV cache optimization
  61. AutoS2earch: Unlocking the Reasoning Potential of Large Models for Web-based Source SearchLLM reasoning → Knowledge- and tool-augmented reasoning
  62. The Ann Arbor Architecture for Agent-Oriented ProgrammingLLM agents and tool use → General LLM agent frameworks and benchmarks
  63. ChatIoT: Large Language Model-based Security Assistant for Internet of Things with Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
  64. ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  65. Rao-Blackwell Gradient Estimators for Equivariant Denoising DiffusionDiffusion models → Flow matching, time series and science
  66. Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet VideosVision-language-action models → Human-video and latent-action pretraining
  67. Compression-Aware One-Step Diffusion Model for JPEG Artifact RemovalDiffusion models → Diffusion for compression and wireless
  68. Automated Hypothesis Validation with Agentic Sequential FalsificationsLLM agents and tool use → Web, search, and research agents
  69. HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge AdaptationMultimodal LLMs / vision-language models → Medical vision-language models
  70. Situational Agency: The Framework for Designing Behavior in Agent-based art
  71. Safe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features
  72. MEADOW: Memory-efficient Dataflow and Data Packing for Low Power Edge LLMs
  73. Lorecast: Layout-Aware Performance and Power Forecasting from Natural Language
  74. Beyond English: Unveiling Multilingual Bias in LLM Copyright Compliance
  75. Automatic Evaluation Metrics for Artificially Generated Scientific Research
  76. Labeling Synthetic Content: User Perceptions of Warning Label Designs for AI-generated Content on Social Media
  77. Using Artificial Intelligence to Improve Classroom Learning Experience
  78. Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow
  79. High-Throughput Computational Screening and Interpretable Machine Learning of Metal-organic Frameworks for Iodine Capture
  80. Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization
  81. SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning
  82. KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models
  83. Leveraging large language models for structured information extraction from pathology reports
  84. Towards Transparent and Accurate Plasma State Monitoring at JET
  85. 3D ReX: Causal Explanations in 3D Neuroimaging Classification
  86. ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis
  87. Recent Advances of NeuroDiffEq -- An Open-Source Library for Physics-Informed Neural Networks
  88. Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?
  89. Universal Lesion Segmentation Challenge 2023: A Comparative Research of Different Algorithms
  90. Optimal Causal Annotations: An Application to Casenotes in Social Services
  91. Adaptive Neural Networks for Intelligent Data-Driven Development
  92. Data-driven Super-Resolution of Flood Inundation Maps using Synthetic Simulations
  93. Weighted quantization using MMD: From mean field to mean shift via gradient flows
  94. Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities
  95. Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
  96. Named entity recognition for Serbian legal documents: Design, methodology and dataset development
  97. Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Bias
  98. An Innovative Next Activity Prediction Using Process Entropy and Dynamic Attribute-Wise-Transformer in Predictive Business Process Monitoring
  99. Quantifying the Impact of Motion on 2D Gaze Estimation in Real-World Mobile Interactions
  100. HADL Framework for Noise Resilient Long-Term Time Series Forecasting
All 275
  1. Observer-Aware Probabilistic Planning Under Partial Observability
  2. Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
  3. Detecting and Monitoring Bias for Subgroups in Breast Cancer Detection AI
  4. SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint
  5. Recent Advances in Malware Detection: Graph Learning and Explainability
  6. Benchmarking the rationality of AI decision making using the transitivity axiom
  7. Synthesis of Dynamic Masks for Information-Theoretic Opacity in Stochastic Systems
  8. Learning to be Smooth: An End-to-End Differentiable Particle Smoother
  9. From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
  10. Identity-Free Deferral For Unseen Experts
  11. Variational empirical Bayes variable selection in high-dimensional logistic regression
  12. Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks
  13. GraphiT: Efficient Node Classification on Text-Attributed Graphs with Prompt Optimized LLMs
  14. KernelBench: Can LLMs Write Efficient GPU Kernels?
  15. Applying Deep Learning to Ads Conversion Prediction in Last Mile Delivery Marketplace
  16. MixMin: Finding Data Mixtures via Convex Minimization
  17. Preference learning made easy: Everything should be understood through win rate
  18. Multi-view 3D surface reconstruction from SAR images by inverse rendering
  19. F-StrIPE: Fast Structure-Informed Positional Encoding for Symbolic Music Generation
  20. A Robust Attack: Displacement Backdoor Attack
  21. LiveVal: Time-aware Data Valuation via Adaptive Reference Points
  22. Forecasting time series with constraints
  23. A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals
  24. TSP3D: Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding
  25. (How) Can Transformers Predict Pseudo-Random Numbers?
  26. Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction
  27. Simplifying DINO via Coding Rate Regularization
  28. Representation and Interpretation in Artificial and Natural Computing
  29. Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
  30. A new and flexible class of sharp asymptotic time-uniform confidence sequences
  31. Unknown Word Detection for English as a Second Language (ESL) Learners Using Gaze and Pre-trained Language Models
  32. ReStyle3D: Scene-Level Appearance Transfer with Semantic Correspondences
  33. OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models
  34. AffinityFlow: Guided Flows for Antibody Affinity Maturation
  35. BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds
  36. Enhancing Multilingual LLM Pretraining with Model-Based Data Selection
  37. Proper Learnability and the Role of Unlabeled Data
  38. Learning Euler Factors of Elliptic Curves
  39. Assortment Optimization for Patient-Provider Matching
  40. Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
  41. STAR: Spectral Truncation and Rescale for Model Merging
  42. Studying number theory with deep learning: a case study with the M"obius and squarefree indicator functions
  43. Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network
  44. InfoPos: A Design Support Framework for ML-Assisted Fault Detection and Identification in Industrial Cyber-Physical Systems
  45. Accelerated Parallel Tempering via Neural Transports
  46. ExplainReduce: Generating global explanations from many local explanations
  47. Object Detection and Tracking
  48. LLM-Powered Preference Elicitation in Combinatorial Assignment
  49. SPIRIT: Short-term Prediction of solar IRradIance for zero-shot Transfer learning using Foundation Models
  50. DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
  51. Fenchel-Young Variational Learning
  52. QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images
  53. Small Loss Bounds for Online Learning Separated Function Classes: A Gaussian Process Perspective
  54. A Hybrid Cross-Stage Coordination Pre-ranking Model for Online Recommendation Systems
  55. Probabilistic Super-Resolution for High-Fidelity Physical System Simulations with Uncertainty Quantification
  56. Artificial Intelligence to Assess Dental Findings from Panoramic Radiographs -- A Multinational Study
  57. A Latent Causal Inference Framework for Ordinal Variables
  58. Are Large Language Models the future crowd workers of Linguistics?
  59. MITO: A Millimeter-Wave Dataset and Simulator for Non-Line-of-Sight Perception
  60. PromptArtisan: Multi-instruction Image Editing in Single Pass with Complete Attention Control
  61. Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
  62. Efficient Zeroth-Order Federated Finetuning of Language Models on Resource-Constrained Devices
  63. AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
  64. Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding
  65. ProReco: A Process Discovery Recommender System
  66. A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation
  67. Forget the Data and Fine-Tuning! Just Fold the Network to Compress
  68. Mapping bathymetry of inland water bodies on the North Slope of Alaska with Landsat using Random Forest
  69. Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
  70. SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks
  71. Looking around you: external information enhances representations for event sequences
  72. AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence
  73. Can Post-Training Quantization Benefit from an Additional QLoRA Integration?
  74. Prediction hubs are context-informed frequent tokens in LLMs
  75. Exploring the Camera Bias of Person Re-identification
  76. Merging public elementary schools to reduce racial/ethnic segregation
  77. A Powerful Random Forest Featuring Linear Extensions (RaFFLE)
  78. Realistic Evaluation of Deep Partial-Label Learning Algorithms
  79. STMA: A Spatio-Temporal Memory Agent for Long-Horizon Embodied Task Planning
  80. Technical Risks of (Lethal) Autonomous Weapons Systems
  81. Agentic End-to-End De Novo Protein Design for Tailored Dynamics Using a Language Diffusion Model
  82. Enhancing anomaly detection with topology-aware autoencoders
  83. Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions
  84. Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
  85. SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation
  86. FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction
  87. Video Soundtrack Generation by Aligning Emotions and Temporal Boundaries
  88. Interpretable Concept-based Deep Learning Framework for Multimodal Human Behavior Modeling
  89. Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages
  90. Physics-Informed Generative Modeling of Wireless Channels
  91. Leveraging V2X for Collaborative HD Maps Construction Using Scene Graph Generation
  92. Learning Relational Tabular Data without Shared Features
  93. Modern Hopfield Networks with Continuous-Time Memories
  94. Compress image to patches for Vision Transformer
  95. SeWA: Selective Weight Average via Probabilistic Masking
  96. Image Embedding Sampling Method for Diverse Captioning
  97. Accelerometry-based Energy Expenditure Estimation During Activities of Daily Living: A Comparison Among Different Accelerometer Compositions
  98. COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations
  99. NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech
  100. Data-Adaptive Low-Rank Sparse Subspace Clustering
  101. Representation Learning on Out of Distribution in Tabular Data
  102. A novel approach to data generation in generative model
  103. Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models
  104. A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference
  105. Filtration-Based Representation Learning for Temporal Graphs
  106. Topological Neural Networks over the Air
  107. Hands-off Image Editing: Language-guided Editing without any Task-specific Labeling, Masking or even Training
  108. Strassen Multisystolic Array Hardware Architectures
  109. Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints
  110. Annotating Compositionality Scores for Irish Noun Compounds is Hard Work
  111. DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
  112. RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control
  113. MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems
  114. Towards Polyp Counting In Full-Procedure Colonoscopy Videos
  115. ORI: O Routing Intelligence
  116. Janus: Collaborative Vision Transformer Under Dynamic Network Environment
  117. Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree
  118. POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
  119. Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks
  120. Improved Online Confidence Bounds for Multinomial Logistic Bandits
  121. Probabilistic Lexical Manifold Construction in Large Language Models via Hierarchical Vector Field Interpolation
  122. InterGridNet: An Electric Network Frequency Approach for Audio Source Location Classification Using Convolutional Neural Networks
  123. SciClaimHunt: A Large Dataset for Evidence-based Scientific Claim Verification
  124. EmbBERT: Attention Under 2 MB Memory
  125. Estimation of the Learning Coefficient Using Empirical Loss
  126. Decision Information Meets Large Language Models: The Future of Explainable Operations Research
  127. Navigating Label Ambiguity for Facial Expression Recognition in the Wild
  128. Statistical description and dimension reduction of continuous time categorical trajectories with multivariate functional principal components
  129. On Volume Minimization in Conformal Regression
  130. Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
  131. Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression
  132. Universal Machine Learning Interatomic Potentials are Ready for Solid Ion Conductors
  133. Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data
  134. VicKAM: Visual Conceptual Knowledge Guided Action Map for Weakly Supervised Group Activity Recognition
  135. Thinning a Wishart Random Matrix
  136. KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
  137. On Space Folds of ReLU Neural Networks
  138. Using MRNet to Predict Lunar Rock Categories Detected by Chang'e 5 Probe
  139. Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model
  140. Self-Supervised Learning for Neural Topic Models with Variance-Invariance-Covariance Regularization
  141. Temporal Scale and Shift Invariant Automatic Event Recognition using the Mellin Transform
  142. Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree
  143. Fused Partial Gromov-Wasserstein for Structured Objects
  144. AffectSRNet : Facial Emotion-Aware Super-Resolution Network
  145. TransGUNet: Transformer Meets Graph-based Skip Connection for Medical Image Segmentation
  146. Deep Tree Tensor Networks
  147. Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence
  148. Robust Anomaly Detection via Tensor Pseudoskeleton Decomposition
  149. Machine Learning for Phase Estimation in Satellite-to-Earth Quantum Communication
  150. AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
  151. Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
  152. Thompson Sampling for Repeated Newsvendor
  153. Optimal lower Lipschitz bounds for ReLU layers, saturation, and phase retrieval
  154. Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond
  155. Dynamic-Computed Tomography Angiography for Cerebral Vessel Templates and Segmentation
  156. Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination
  157. Comprehensive Review of Neural Differential Equations for Time Series Analysis
  158. Nonasymptotic CLT and Error Bounds for Linear Two-Time-Scale Stochastic Approximation
  159. Interpretable Early Warnings using Machine Learning in an Online Game-experiment
  160. FrGNet: A fourier-guided weakly-supervised framework for nuclear instance segmentation
  161. Learning to Calibrate for Reliable Visual Fire Detection
  162. A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies
  163. DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Design
  164. How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies
  165. Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models
  166. A Scoresheet for Explainable AI
  167. Gradient GA: Gradient Genetic Algorithm for Drug Molecular Design
  168. Scaling Multimodal Search and Recommendation with Small Language Models via Upside-Down Reinforcement Learning
  169. Elastic Representation: Mitigating Spurious Correlations for Group Robustness
  170. A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems
  171. Solving Empirical Bayes via Transformers
  172. MuDoC: An Interactive Multimodal Document-grounded Conversational AI System
  173. Computational Lower Bounds for Correlated Random Graphs via Algorithmic Contiguity
  174. Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control
  175. Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection