AI News

Sparse Bayesian Neural Networks via Sticky Piecewise Deterministic Markov Processes (arxiv.org)

Federated Nonparametric Regression with Heterogeneous Clients (arxiv.org)

Implicit Neural Representations for Variational Problems on Graphons (arxiv.org)

Conditional Flow Models for Offline Maximum Entropy Reinforcement Learning (arxiv.org)

Combinatorial Characterizations of the Learnability of Conditional Distributions (arxiv.org)

Early learning in large residual networks (arxiv.org)

Autoregressive Physics-Informed Neural Operator Surrogates and Joint 4-D Seismic-Production Bayesian History Matching (arxiv.org)

Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner (arxiv.org)

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters (arxiv.org)

On Orthogonal Recurrent Neural Networks Quantization (arxiv.org)

DeepOpen: Decision-Oriented Intent Classification on BANKING77 and CLINC150 (arxiv.org)

Co-Recursive Semantic Self-Extension: A Mathematical Foundation for Open-Ended Intelligence (arxiv.org)

Mitigating Saliency Collapse: Robust Saliency-Aware Long-Text Image-Text Alignment (arxiv.org)

Accelerating Wildfire Hazard Mapping Across Canada with an AI Surrogate Modelling Framework (arxiv.org)

EvoSkill v2: Fully Agentic Skill Evolution from Benchmark Adaptation to a Stateful Evolver (arxiv.org)

Bridging Exploration and Persona: Information-Directed Dueling for Test-Time Agent Personalization (arxiv.org)

Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification (arxiv.org)

Attractor Domain Theory: A Mathematical Framework for Cardiovascular Attractor Analysis with Wearable Photoplethysmography (PPG) Validation (arxiv.org)

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents (arxiv.org)

MedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data (arxiv.org)

Testing Transformer Learnability on the Arithmetic Sequence of Rooted Trees (arxiv.org)

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph (arxiv.org)

Symbolic Guidance for LLM Agents in Distributed Multiagent Coordination (arxiv.org)

SceneBloom: Agentic Indoor Environment Generation with Realistic and Diverse Layouts for Embodied Learning (arxiv.org)

RobustRLlib: A Unified Library and Benchmark for Robust Reinforcement Learning Algorithms (arxiv.org)

ToolRACER: A Robust Agentic Conversation Emulation Resource for Agent Training and Evaluation (arxiv.org)

ArtifactArena: Evaluating Models by What They Build in the Physical World (arxiv.org)

When Clinical Judgment Becomes a Predictive Shortcut: Two Questions Clinical AI Must Answer Before Deployment (arxiv.org)

PolyMemDB: A Polyglot Database System for AI Memory Management (arxiv.org)

SteerVTE: Seamless Video Text Editing with Style and Glyph Control (arxiv.org)

Better Reward Models Are Not Always Less Biased: Social Alignment Beyond Standard Reward Benchmarks (arxiv.org)

TensorCommitments: A Lightweight Verifiable Inference for Large Language Models (arxiv.org)

Why Does Counterintuitive Likelihood Behavior Rarely Emerge in Tabular Anomaly Detection? (arxiv.org)

Benchmarking Vision-Language Models on Synapse and Neuron Proofreading in Connectomics (arxiv.org)

DexPort: A Hand-Held Skill Interface for Dexterous Hand Data Collection (arxiv.org)

Beyond Discrete Tokens: Preserving Numerical Continuity in Medical Vision-Language Models (arxiv.org)

Monetizing Intelligence: Advertising and Subscription Design on LLM Platforms (arxiv.org)

Yalda-Embedding: Open Development of a Competitive Persian Retrieval Model (arxiv.org)

Green Code or Costly Code? Evaluating the Energy Costs of Iterative LLM-Based Code Optimizations (arxiv.org)

Interpretable sparse fine-tuning with TopKLoRA enables faithful circuit discovery (arxiv.org)

PoKER: A Probability of Kill Estimation Rate Model for Air-to-Air Missiles Using Machine Learning on Stochastic Targets (arxiv.org)

Multiplicative vs. Additive State Coupling in Learned Optimizer Schedules (arxiv.org)

Every Edge Needs a Quote: Building a Quote-Grounded Knowledge Graph of Healthcare Software Adoption with Language-Model Agents (arxiv.org)

AI Alignment for Digital Democracy: Fairer Voters Representation against LLM Biases (arxiv.org)

On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models (arxiv.org)

Semantic Representation for Agentic Self-Play in Automated Laboratories (arxiv.org)

Adaptive World-Models for Anomaly Recognition (AWARE): A Framework for Robot Dynamics Prediction and Introspection (arxiv.org)

Internal Discrepancy for Contrastive Learning: Generalization Bounds and Downstream Behaviors (arxiv.org)

PlayerEmbed: Learning Behavioral Fingerprint Representations from Raw Input Sequences (arxiv.org)

Ontology-Guided Knowledge Graph Construction from Structured Metadata and Climate Science Publications (arxiv.org)