AI News

Lifted Bellman Linear Programming for Offline Reinforcement Learning (arxiv.org)

TTSE: A Two-Track Online Self-Evolution Framework (arxiv.org)

High-Dimensional Online Change Point Detection with Adaptive Thresholding and Interpretability (arxiv.org)

CTSpinoPelvic1K: spine, pelvis, ribs and femora in one coordinate frame, annotated for lumbosacral transitional anatomy (arxiv.org)

Algorithmic Collusion and the Complexity of Information-Value-Free Equilibria (arxiv.org)

Towards Robust Classroom Attendance: A Comprehensive Evaluation of Face Detection and Recognition Models (arxiv.org)

Clinical Domain Classification from Medical Transcriptions (arxiv.org)

Rare Event Estimation via Iterative Unalignment (arxiv.org)

Learning Physics from an Imperfect Ancestor (arxiv.org)

Exactness at Inference: A Representational Criterion for Out-of-Distribution Generalization (arxiv.org)

Strategic Classification Has a Missing Lever: Audit Risk (arxiv.org)

Learning Prognostic Variables for AI Convective Parameterizations via Symbolic Distillation (arxiv.org)

MemCalib: Benchmarking and Optimizing Memory Use in LLM Agents (arxiv.org)

Explainable Predictive Condition-based Maintenance of Naval-Propulsion Systems using Fuzzy Logic (arxiv.org)

The Exponential Price of Determinism in Nonsmooth Nonconvex Optimization (arxiv.org)

When Is Availability-Aware Training Worth It? A Benchmark and Empirical Study of Interruption-Resilient Optimization Under Predictable Compute Schedules (arxiv.org)

Rethinking Diffusion Segmentation: When Does It Rely on Its Noisy State, and Does Diffusion Matter? (arxiv.org)

Overlay\_dx - Automating forecasting evaluation (arxiv.org)

1% of Tokens Can Be Enough: On Gradient Estimation in On-Policy Distillation (arxiv.org)

Taking a Second Look: Correcting Sea Ice Forecasts with Sparse Observations (arxiv.org)

Auditing Bayesian Graph Alignment: Diagnostic Comparisons and Reference Failure (arxiv.org)

A Temporal Knowledge Graph for Music Festival Lineup Forecasting (arxiv.org)

ARM: Attention with Routed-Memory for Learnable Sparse Control (arxiv.org)

Critical-State RL: Diagnosing Trainable States for Multi-Turn Tool Use (arxiv.org)

Robot World Models Are Not Invariant to How the Actions Are Written (arxiv.org)

Latent Telepathy: Multi-Robot Communication with Self-Supervised Perceptual Latents (arxiv.org)

Artificial Structure Function Search: Preserving Artificial Functional Connectivity for Structured Pruning (arxiv.org)

Co-occurrence Patterns of LoRA Adapters in Production Diffusion Model Inference Services (arxiv.org)

LoRA-generating hypernetworks for efficient on-device LLM generative personalization (arxiv.org)

Probabilistic Modelling of Operational Design Domains, A New Approach for Testing AI Systems (arxiv.org)

Beyond Appearance Shifts: Task-Semantic Action Calibration for VLA Models (arxiv.org)

Climate Variability Modulates the Impact of Price Spikes on Food Insecurity (arxiv.org)

NAVIR: Neuromorphic Audio-Visual Speech Recognition for Robust Human-Robot Interaction on Edge Hardware (arxiv.org)

Why Do Video Diffusion Models Violate Physics? Unveiling the Flaws in Attention Mechanisms (arxiv.org)

Fast Graph Laplacian Estimation using Effective Resistance (arxiv.org)

Distill What You Trust: Reliability-Aware Multi-Teacher On-Policy Distillation (arxiv.org)

Machine Learning-Based Prediction of Childhood Stunting in Bangladesh: Fairness and Temporal Robustness Assessment (arxiv.org)

Credit Access is Associated with Improved Food Security in the Horn of Africa (arxiv.org)

RRSI: Regularized Recursive Self-Improvement of Agent Harnesses (arxiv.org)

Information-Time Proximal Policy Optimization (arxiv.org)

Prescriptive SVD-Inspired Attention via Spectral Energy Retention (arxiv.org)

RAILS: Retrieval-Augmented Incremental LLM Clustering at Scale (arxiv.org)

Counting and Covering in Nearest-Neighbour Representations of Boolean Functions (arxiv.org)

Measured Joules, Learned Routes: Learning to Route for Energy-Efficient LLM Serving (arxiv.org)

HumynexSurg-1: A Curated Expert Liposuction Dataset (arxiv.org)

Financial Language Models as Applied Artificial Intelligence Systems for News-Based Trading under Market Frictions (arxiv.org)

STEVE: Stabilizing Textual Gradient-Based Prompt Optimization via Error-Driven Refinement and Regularized Verification (arxiv.org)

GraphToolbox: A Configurable Python Framework for Graph Neural Network Forecasting (arxiv.org)

Augmented Hypothesis Testing with Persona-Based LLM Simulations (arxiv.org)

An Exact Junction-Tree Extended Formulation for Optimal Classification Trees (arxiv.org)