mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 1 May 2025

241 papers

  1. Generative diffusion model surrogates for mechanistic agent-based biological modelsDiffusion models → Medical imaging and segmentation
  2. Harmonia: End-to-End RAG Serving OptimizationRetrieval-augmented generation → RAG pipeline design and evaluation
  3. A General Approach of Automated Environment Design for Learning the Optimal Power FlowDeep reinforcement learning methods → RL for energy, networks and operations
  4. Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  5. Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language ModelsLLM agents and tool use → Social simulation and multi-agent debate
  6. MoxE: Mixture of xLSTM Experts with Entropy-Aware Routing for Efficient Language ModelingMixture-of-experts → Expert routing strategies
  7. A Multi-Granularity Retrieval Framework for Visually-Rich DocumentsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
  8. Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense EvaluationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  9. Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-LearningDeep reinforcement learning methods → RL for energy, networks and operations
  10. Multivariate Conformal SelectionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  11. Learning Conservative Neural Control Barrier Functions from Offline DataOffline RL and imitation learning from data → Safe offline RL +1
  12. Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic PipelinesLLM reasoning → Prompting and chain-of-thought reasoning +1
  13. OET: Optimization-based prompt injection Evaluation ToolkitLLM safety and security → Prompt injection and agent security
  14. A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.iMechanistic interpretability → Circuits and mechanistic analysis
  15. Improving Routing in Sparse Mixture of Experts with Graph of TokensMixture-of-experts → Expert routing strategies
  16. SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal ModelsLLM reasoning → Spatial and embodied reasoning +1
  17. Constructing an Optimal Behavior Basis for the Option KeyboardDeep reinforcement learning methods → Deep RL algorithms and representations
  18. Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution FailuresWorld models → Latent dynamics models and model-based RL
  19. Reasoning Capabilities and Invariability of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  20. Multimodal Language Models as Text-to-Image Model EvaluatorsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  21. LLM-Based Human-Agent Collaboration and Interaction Systems: A SurveyLLM agents and tool use → General LLM agent frameworks and benchmarks
  22. InstructAttribute: Fine-grained Object Attributes editing with InstructionDiffusion models → Image generation, text-to-image and editing
  23. Controllable Weather Synthesis and Removal with Video Diffusion ModelsDiffusion models → Flow matching, time series and science
  24. T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoTLLM reasoning → Multimodal reasoning
  25. GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-ResolutionDiffusion models → Inverse problems and image restoration
  26. Visual Test-time Scaling for GUI Agent GroundingLLM reasoning → Multimodal reasoning +2
  27. MINERVA: Evaluating Complex Video ReasoningLLM reasoning → Multimodal reasoning +1
  28. Rethinking Memory in LLM based Agents: Representations, Operations, and Emerging TopicsLLM reasoning → Reasoning for agents, planning and code +1
  29. Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier FunctionsDeep reinforcement learning methods → Safe and constrained RL
  30. Deep Reinforcement Learning for Urban Air Quality Management: Multi-Objective Optimization of Pollution Mitigation Booth Placement in Metropolitan EnvironmentsDeep reinforcement learning methods → RL for energy, networks and operations
  31. Wasserstein Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  32. On the generalization of language models from in-context learning and finetuning: a controlled studyLLM reasoning → Reasoning benchmarks and evaluation
  33. Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and OutlookState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  34. FineScope : SAE-guided Data Selection Enables Domain Specific LLM Pruning and FinetuningMechanistic interpretability → SAE features and their applications
  35. Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4LLM reasoning → Reasoning benchmarks and evaluation
  36. Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease GradingKnowledge distillation → Distillation for medical imaging
  37. ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  38. FreqKV: Key-Value Compression in Frequency Domain for Context Window ExtensionEfficient LLM inference and serving → KV cache optimization
  39. On the Mechanistic Interpretability of Neural Networks for Causality in Bio-statisticsMechanistic interpretability → Circuits and mechanistic analysis
  40. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  41. Directly Forecasting Belief for Reinforcement Learning with DelaysDeep reinforcement learning methods → Deep RL algorithms and representations
  42. Emergence of Roles in Robotic Teams with Model Sharing and Limited CommunicationDeep reinforcement learning methods → RL for games and combinatorial optimization
  43. Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning FrameworksDeep reinforcement learning methods → RL for energy, networks and operations
  44. DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
  45. Safety-Critical Traffic Simulation with Guided Latent Diffusion ModelDiffusion models → Diffusion and flow policies for robotics
  46. Variational OOD State Correction for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  47. JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion TransformersDiffusion models → 3D, point cloud and scene generation
  48. UserCentrix: An Agentic Memory-augmented AI Framework for Smart SpacesLLM agents and tool use → General LLM agent frameworks and benchmarks
  49. Red Teaming Large Language Models for HealthcareLLM safety and security → Safety alignment, refusal and guardrails
  50. Distributed Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
  51. Leveraging Pretrained Diffusion Models for Zero-Shot Part AssemblyDiffusion models → 3D, point cloud and scene generation
  52. ScaleTrack: Scaling and back-tracking Automated GUI AgentsLLM agents and tool use → GUI and mobile agents
  53. Approximation to Deep Q-Network by Stochastic Delay Differential EquationsDeep reinforcement learning methods → Deep RL algorithms and representations
  54. Quaternion Wavelet-Conditioned Diffusion Models for Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  55. Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice RoutingMixture-of-experts → Expert routing strategies
  56. Reinforcement Learning with Continuous Actions Under Unmeasured ConfoundingDeep reinforcement learning methods → RL theory and sample complexity
  57. Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  58. LightEMMA: A Longitudinal Evaluation of Vision-Language Models for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  59. EnronQA: Towards Personalized RAG over Private DocumentsRetrieval-augmented generation → RAG pipeline design and evaluation
  60. AVA: Towards Agentic Video Analytics with Vision Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
  61. Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making TasksLLM agents and tool use → General LLM agent frameworks and benchmarks +1
  62. A Comparative Study of Large Language Models and Human Personality Traits
  63. Position: Foundation Models Need Digital Twin Representations
  64. Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks
  65. AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection
  66. Modeling Human Behavior in a Strategic Network Game with Complex Group Dynamics
  67. A Double Inertial Forward-Backward Splitting Algorithm With Applications to Regression and Classification Problems
  68. LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
  69. Practical Boolean Backpropagation
  70. A Time-Series Data Augmentation Model through Diffusion and Transformer Integration
  71. A new architecture of high-order deep neural networks that learn martingales
  72. The Precautionary Principle and the Innovation Principle: Incompatible Guides for AI Innovation Governance?
  73. Consciousness in AI: Logic, Proof, and Experimental Evidence of Recursive Identity Formation
  74. Enhancing Cloud Security through Topic Modelling
  75. Synthetic emotions and consciousness: exploring architectural boundaries
  76. Development of an Adapter for Analyzing and Protecting Machine Learning Models from Competitive Activity in the Networks Services
  77. A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
  78. Fine-Tuning without Performance Degradation
  79. Gaussian process policy iteration with additive Schwarz acceleration for forward and inverse HJB and mean field game problems
  80. NeMo-Inspector: A Visualization Tool for LLM Generation Analysis
  81. Rethinking Time Encoding via Learnable Transformation Functions
  82. Towards Explainable Temporal User Profiling with LLMs
  83. Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting
  84. Car Sensors Health Monitoring by Verification Based on Autoencoder and Random Forest Regression
  85. IK Seed Generator for Dual-Arm Human-like Physicality Robot with Mobile Base
  86. Are Minimal Radial Distortion Solvers Really Necessary for Relative Pose Estimation?
  87. ICQuant: Index Coding enables Low-bit LLM Quantization
  88. On the emergence of numerical instabilities in Next Generation Reservoir Computing
  89. From Texts to Shields: Convergence of Large Language Models and Cybersecurity
  90. IberFire -- a detailed creation of a spatio-temporal dataset for wildfire risk assessment in Spain
  91. The Comparability of Model Fusion to Measured Data in Confuser Rejection
  92. Multi-site modelling and reconstruction of past extreme skew surges along the French Atlantic coast
  93. SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation
  94. Intersectional Divergence: Measuring Fairness in Regression
  95. MIMIC-RNum4-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction
  96. Bubble2Heat: Optical to Thermal Inference in Pool Boiling Using Physics-encoded Generative AI
  97. Q-Learning with Clustered-SMART (cSMART) Data: Examining Moderators in the Construction of Clustered Adaptive Interventions
  98. Dual Filter: A Transformer-like Inference Architecture for Hidden Markov Models
  99. Spill The Beans: Exploiting CPU Cache Side-Channels to Leak Tokens from Large Language Models
  100. Aggregating empirical evidence from data strategy studies: a case on model quantization
All 241
  1. Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction
  2. Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
  3. Scalable Unit Harmonization in Medical Informatics via Bayesian-Optimized Retrieval and Transformer-Based Re-ranking
  4. Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging
  5. To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAX
  6. Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration
  7. Howard's Policy Iteration is Subexponential for Deterministic Markov Decision Problems with Rewards of Fixed Bit-size and Arbitrary Discount Factor
  8. Scalable Meta-Learning via Mixed-Mode Differentiation
  9. AI-ready Snow Radar Echogram Dataset (SRED) for climate change monitoring
  10. Dynamical System Parameter Path Optimization using Persistent Homology
  11. Person detection and re-identification in open-world settings of retail stores and public spaces
  12. JFlow: Model-Independent Spherical Jeans Analysis using Equivariant Continuous Normalizing Flows
  13. Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L
  14. P2P-Insole: Human Pose Estimation Using Foot Pressure Distribution and Motion Sensors
  15. DARTer: Dynamic Adaptive Representation Tracker for Nighttime UAV Tracking
  16. RayZer: A Self-supervised Large View Synthesis Model
  17. Robotic Visual Instruction
  18. Towards Autonomous Micromobility through Scalable Urban Simulation
  19. On the Importance of Gaussianizing Representations
  20. Steering Large Language Models with Register Analysis for Arbitrary Style Transfer
  21. DeepCritic: Deliberate Critique with Large Language Models
  22. Large Language Models Understanding: an Inherent Ambiguity Barrier
  23. Open-Source LLM-Driven Federated Transformer for Predictive IoV Management
  24. OmicsCL: Unsupervised Contrastive Learning for Cancer Subtype Discovery and Survival Stratification
  25. Investigating Task Arithmetic for Zero-Shot Information Retrieval
  26. Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI
  27. Bayes-Optimal Fair Classification with Multiple Sensitive Features
  28. Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
  29. The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them)
  30. SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction
  31. Neural Network Verification for Gliding Drone Control: A Case Study
  32. Diverse Semantics-Guided Feature Alignment and Decoupling for Visible-Infrared Person Re-Identification
  33. Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction
  34. Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
  35. Combining LLMs with Logic-Based Framework to Explain MCTS
  36. Dietary Intake Estimation via Continuous 3D Reconstruction of Food
  37. Visual Trajectory Prediction of Vessels for Inland Navigation
  38. Fast and Low-Cost Genomic Foundation Models via Outlier Removal
  39. A Finite-State Controller Based Offline Solver for Deterministic POMDPs
  40. Explainable AI in Spatial Analysis
  41. Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
  42. Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets
  43. Block Circulant Adapter for Large Language Models
  44. Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors
  45. Voice Cloning: Comprehensive Survey
  46. Transition States Energies from Machine Learning: An Application to Reverse Water-Gas Shift on Single-Atom Alloys
  47. Discovery and inference beyond linearity for epidemiological data by integrating Bayesian regression, tree ensembles and Shapley values
  48. Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities
  49. X-ray illicit object detection using hybrid CNN-transformer neural network architectures
  50. TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
  51. Learning to Learn with Quantum Optimization via Quantum Neural Networks
  52. Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models
  53. Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
  54. KnowEEG: Explainable Knowledge Driven EEG Classification
  55. A Robust Deep Networks based Multi-Object MultiCamera Tracking System for City Scale Traffic
  56. Test-time Correlation Alignment
  57. Pre-Training Estimators for Structural Models: Application to Consumer Search
  58. A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities
  59. InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method
  60. Inconsistency-based Active Learning for LiDAR Object Detection
  61. Self-Ablating Transformers: More Interpretability, Less Sparsity
  62. HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
  63. HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection
  64. Towards Scalable Human-aligned Benchmark for Text-guided Image Editing
  65. Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations
  66. KeySync: A Robust Approach for Leakage-free Lip Synchronization in High Resolution
  67. Enhancing Tropical Cyclone Path Forecasting with an Improved Transformer Network
  68. Optimal Interactive Learning on the Job via Facility Location Planning
  69. MULE: Multi-terrain and Unknown Load Adaptation for Effective Quadrupedal Locomotion
  70. Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks
  71. Computational Identification of Regulatory Statements in EU Legislation
  72. Rule-based Classifier Models
  73. Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs
  74. A General Framework for Property-Driven Machine Learning
  75. CorStitch: Accessible Video Stitching for Coral Monitoring
  76. Subspace-Distance-Enabled Active Learning for Efficient Data-Driven Model Reduction of Parametric Dynamical Systems
  77. Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models
  78. ClearLines - Camera Calibration from Straight Lines
  79. Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior
  80. Over-the-Air Inference over Multi-hop MIMO Networks
  81. Toward Automated Regulatory Decision-Making: Trustworthy Medical Device Risk Classification with Multimodal Transformers and Self-Training
  82. Real-Time Animatable 2DGS-Avatars with Detail Enhancement from Monocular Videos
  83. CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
  84. Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis
  85. Perceptual implications of automatic anonymization in pathological speech
  86. DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
  87. Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints
  88. SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos
  89. CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass
  90. The Invisible Threat: Evaluating the Vulnerability of Cross-Spectral Face Recognition to Presentation Attacks
  91. Cues3D: Unleashing the Power of Sole NeRF for Consistent and Unique Instances in Open-Vocabulary 3D Panoptic Segmentation
  92. Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
  93. Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network
  94. Automated segmentation of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023
  95. Urban Air Mobility as a System of Systems: An LLM-Enhanced Holonic Approach
  96. KoACD: The First Korean Adolescent Dataset for Cognitive Distortion Analysis via Role-Switching Multi-LLM Negotiation
  97. SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
  98. From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
  99. TNStream: Applying Tightest Neighbors to Micro-Clusters to Define Multi-Density Clusters in Streaming Data
  100. R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training
  101. On the retraining frequency of global models in retail demand forecasting
  102. Optimizing Deep Neural Networks using Safety-Guided Self Compression
  103. Validation of a 24-hour-ahead Prediction model for a Residential Electrical Load under diverse climate
  104. Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics
  105. Enhancing AI-Driven Education: Integrating Cognitive Frameworks, Linguistic Feedback Analysis, and Ethical Considerations for Improved Content Generation
  106. T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation
  107. Efficient Neural Video Representation with Temporally Coherent Modulation
  108. Two Stage Wireless Federated LoRA Fine-Tuning with Sparsified Orthogonal Updates
  109. Optimal Vector Compressed Sensing Using James Stein Shrinkage
  110. CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform
  111. AI2-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics
  112. Edge Large AI Models: Revolutionizing 6G Networks
  113. FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving
  114. Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture
  115. AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection
  116. Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction
  117. AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality
  118. Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
  119. Leveraging Surplus Electricity: Profitability of Bitcoin Mining as a National Strategy in South Korea
  120. Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting
  121. Fine-grained spatial-temporal perception for gas leak segmentation
  122. Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message-Passing Limit
  123. Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
  124. A Unifying Framework for Robust and Efficient Inference with Unstructured Data
  125. Policies of Multiple Skill Levels for Better Strength Estimation in Games
  126. DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing
  127. AdCare-VLM: Towards a Unified and Pre-aligned Latent Representation for Healthcare Video Understanding
  128. Consistency in Language Models: Current Landscape, Challenges, and Future Directions
  129. Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach
  130. Enriching the Korean Learner Corpus with Multi-reference Annotations and Rubric-Based Scoring
  131. Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction
  132. Graph Privacy: A Heterogeneous Federated GNN for Trans-Border Financial Data Circulation
  133. D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
  134. LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems
  135. Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction
  136. Node2Vec-DGI-EL: A Hierarchical Graph Representation Learning Model for Ingredient-Disease Association Prediction
  137. Explorative Curriculum Learning for Strongly Correlated Electron Systems
  138. Scaling On-Device GPU Inference for Large Generative Models
  139. Inference for max-linear Bayesian networks with noise
  140. ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports
  141. Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular Transformers