AI News

The Entropy Triangle Method (ETM): A novel framework for the prevention of cardiac arrhythmia with a review of more than 10,000 patients (arxiv.org)

Right Choice of Classification Algorithms Based on Reinforcement Learning for Prediction of Non-Alcoholic Fatty Liver (arxiv.org)

Auditability Is Not One Property: Rule Overlap, Behavioural Agreement, and Composition in Reinforcement Learning (arxiv.org)

Uncovering Residential PV-EV Co-Adoption from Smart-Meter Data: Load Archetypes and Detection for Demand-Side Planning (arxiv.org)

Time-Series Foundation Models That Understand Data Revisions (arxiv.org)

UO-FIE: Combining Exact-Label Supervision with Graded Utility for Factivity Inference (arxiv.org)

Leakage-Safe Machine Learning for Hydrogen Embrittlement Detection in 316L Stainless Steel: A Region-Held-Out Evaluation of Texture and Deep Features in SEM Micrographs (arxiv.org)

When Explanations Cannot Be Read: Measuring and Correcting SHAP and LIME Rendering for Right-to-Left Languages (arxiv.org)

SpaFactor: Lightweight Spatial Context-Aware Gene Program Modeling for Histology-to-Transcriptomics Inference (arxiv.org)

UNWIND: Any-Length Facial Video for Stress Detection without Temporal Windowing (arxiv.org)

TTLab at AlexandriaX-2026: A Fine-Tuned Surface Tagger for Arabic Machine-Translation Error-Span Detection and Classification (arxiv.org)

Operator Packages, Proposer Strength, and Construction-Family Plateaus in Office-Scale Verified Search (arxiv.org)

AgentKernel: The Trust-Native Agentic Operating System (arxiv.org)

Deep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors (arxiv.org)

Self-Play Pretraining with Zero Data (arxiv.org)

Residual Correlation as a Diagnostic for Joint-Uncertainty Gains from GP Coregionalisation (arxiv.org)

Spatio-temporally complementary feature propagation on graphs for longitudinal AADT estimation (arxiv.org)

Classifier-Dependent Benefits of Pseudo-Labeling for Semi-Supervised Android Malware Attribution (arxiv.org)

GCUL: Ambiguity Identification in Text Emotion Classification via Cluster-Guided Learning (arxiv.org)

Spectral-Guided Diffusion: Accelerating Inference via Static Spectral Layer Scheduling (arxiv.org)

Machine Unlearning for Gibbs Supervised Learning Algorithms (arxiv.org)

CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning (arxiv.org)

Optimal Recovery Meets Bayesian Learning: Where Worst-Case Bounds Pay Off (arxiv.org)

Robust Detection of LLM-Generated Text under Contamination (arxiv.org)

Path-specific harm decomposition: A partial identification framework (arxiv.org)

Lightweight Probabilistic Downscaling from a Deterministic Base Model (arxiv.org)

Nuclear Norm-Regularized Bayesian Matrix Completion (arxiv.org)

From Prediction to Explainable Provider Behavior Profiles for Fraud, Waste, and Abuse Review (arxiv.org)

SGA: Uncertainty Quantification for Multi-Step Forecasting in Time Series Foundation Models (arxiv.org)

Global Convergence of Third-Order Langevin Dynamics for Non-Convex Optimization via Simulated Annealing (arxiv.org)

RLVR landscapes for iterated multiplications can be benign: Insights from spin-glass theory (arxiv.org)

Back to the Definition: Estimating Step-Level Advantages via Trajectory Graphs for Agentic Reinforcement Learning (arxiv.org)

When Does Action Credit Need Updating? (arxiv.org)

Functional dynamic mode decomposition: Learning infinite-dimensional systems from data (arxiv.org)

FB-GDM: Fully-Bayesian Guided Diffusion Models for High-Dimensional Linear Inverse Problems via Unsupervised Variational Inference (arxiv.org)

Sample-Weighted End-to-End Trace-Norm Geometry for Multitask Learning (arxiv.org)

Sufficiently Reduced Distributional Regression (arxiv.org)

NNV3: Expanding Neural Network Verification to New Architectures and Domains (arxiv.org)

Learning a Flow to Self-Supervised Representations (arxiv.org)

Neural Transport Nested Sampling (arxiv.org)

Direct Message Approximation (DMA): A Consistency-Based Framework for Tractable Approximate Inference on Factor Graphs (arxiv.org)

Physics-Informed Neural Operator Surrogate for 2D Magnetohydrodynamic Reconnection (arxiv.org)

The Impossible Trinity of Time-Series Validation: A Conservation Law among Training Sufficiency, Test Coverage, and Temporal Causality (arxiv.org)

On the second-order optimization for spiking neural networks (arxiv.org)

DeepGOF-1: A Pretrained Convolutional Goodness-of-Fit Test for Logistic Regression with a Computable Consistency Certificate (arxiv.org)

When Identical Rows Disagree: From Benchmark Identifiability to Replication-Robust Anomaly Detection (arxiv.org)

Stochastic Semantic Evidence Graphs: Uncertainty Propagation and Governance for Agentic AI (arxiv.org)

Boolean threshold functions, neuron capacity, and memory retrieval (arxiv.org)

Style, Not Self: Surface Cues Explain Zero-Shot Code Attribution by Large Language Models (arxiv.org)

Common Covariance Geometry and Certification for Brownian Kernel Ladders (arxiv.org)