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On the (Generative) Linear Sketching Problem
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Wi-Spike: A Low-power WiFi Human Multi-action Recognition Model with Spiking Neural Networks
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Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling
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The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs
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Convergence of Two Time-Scale Stochastic Approximation: A Martingale Approach
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V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning
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Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention
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Unlearning-based sliding window for continual learning under concept drift
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Infinite Problem Generator: Verifiably Scaling Physics Reasoning Data with Agentic Workflows
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Predicting Stress-strain Behaviors of Additively Manufactured Materials via Loss-based and Activation-based Physics-informed Machine Learning
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Fine-tuning MLLMs Without Forgetting Is Easier Than You Think
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Bridging the Gap in the Responsible AI Divides
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Refining 3D Medical Segmentation with Verbal Instruction
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WorldVLM: Combining World Model Forecasting and Vision-Language Reasoning
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R3DP: Real-Time 3D-Aware Policy for Embodied Manipulation
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CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language
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Mapping Dark-Matter Clusters via Physics-Guided Diffusion Models
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Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
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Unlocking the Latent Canvas: Eliciting and Benchmarking Symbolic Visual Expression in LLMs
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Expanding mmWave Datasets for Human Pose Estimation with Unlabeled Data and LiDAR Datasets
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High-Probability Bounds for SGD under the Polyak-Lojasiewicz Condition with Markovian Noise
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Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State
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Learning to Forget: Sleep-Inspired Memory Consolidation for Resolving Proactive Interference in Large Language Models
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VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning
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MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection
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LatSearch: Latent Reward-Guided Search for Faster Inference-Time Scaling in Video Diffusion
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Interp3R: Continuous-time 3D Geometry Estimation with Frames and Events
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Emotional Cost Functions for AI Safety: Teaching Agents to Feel the Weight of Irreversible Consequences
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Visualizing Critic Match Loss Landscapes for Interpretation of Online Reinforcement Learning Control Algorithms
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Distilling Latent Manifolds: Resolution Extrapolation by Variational Autoencoders
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Expert Mind: A Retrieval-Augmented Architecture for Expert Knowledge Preservation in the Energy Sector
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ASAP: Attention-Shift-Aware Pruning for Efficient LVLM Inference
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Learning to Order: Task Sequencing as In-Context Optimization
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Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
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An End-to-end Architecture for Collider Physics and Beyond
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JobMatchAI An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI
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A comprehensive multimodal dataset and benchmark for ulcerative colitis scoring in endoscopy
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Multilingual TinyStories: A Synthetic Combinatorial Corpus of Indic Children's Stories for Training Small Language Models
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Top-b: Entropic Regulation of Relative Probability Bands in Autoregressive Language Processes
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Rigorous Asymptotics for First-Order Algorithms Through the Dynamical Cavity Method
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CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
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IQP Born Machines under Data-dependent and Agnostic Initialization Strategies
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Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference
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Power-Law Spectrum of the Random Feature Model
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Medical Image Spatial Grounding with Semantic Sampling
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Machine Learning-Driven Intelligent Memory System Design: From On-Chip Caches to Storage
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The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation
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Texel Splatting: Perspective-Stable 3D Pixel Art
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SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent Memory
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Adapting Critic Match Loss Landscape Visualization to Off-policy Reinforcement Learning
