AI News

Matched-Input Estimates Differ in Sign Across Architectures: Auditing EEG Foundation Models on Motor Imagery (arxiv.org)

A discrete generative model of neuronal spiking activity on microelectrode arrays (arxiv.org)

Multivariate quantile regression via Kolmogorov-Arnold Networks (arxiv.org)

GDN Tree-Scan: Served Tree Verification for Recurrent-Hybrid Language Models (arxiv.org)

Circuit-Diff: Factual Edit-based Intervention Method for Localizing Knowledge in Attribution Graphs (arxiv.org)

Causilo Technical Report (arxiv.org)

LPINNs: First-Layer Gated Localization for Physics-Informed Neural Networks (arxiv.org)

Interpretable Multi-Hypersphere Deep Anomaly Detection for Open-set Supervised Anomaly Detection (arxiv.org)

Collaborative Streaming Anomaly Detection with Interactive Explanations and Ensemble Consensus (arxiv.org)

GLR-MM: Graph-Based Global-Local Reconstruction for Robust Multimodal Chest X-ray and EHR Representation Learning under Missing Modalities (arxiv.org)

VISTA: An Attention-Based Multi-Agent Reinforcement Learning Architecture for Space Situational Awareness Sensor Tasking (arxiv.org)

Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification (arxiv.org)

A multi-temporal dataset for mapping burned areas in the Brazilian Cerrado using time series of remote sensing imagery (arxiv.org)

Multi-Armed Bernoulli Bandits via Minimax Single-Arm Stopping (arxiv.org)

On attention heads and bilinear forms (arxiv.org)

Distributional Balancing with Machine Learning for Clinical Trial Augmentation Using Real-World Data (arxiv.org)

Decoupled Causal Discovery (arxiv.org)

Belted Engression: Sufficient Dimension Reduction for Generative Distributional Regression (arxiv.org)

One Patch, Three Roles: What Is Actually Coupled in Autoregressive Time-Series Forecasting? (arxiv.org)

ETH-TraceBench: A Large-Scale Event-Stream Benchmark for Ethereum DeFi under Temporal, Protocol, and Contract Shift (arxiv.org)

Bilinear Optimization Divergence: Diagnosing Factor-Constrained LoRA Continual Learning (arxiv.org)

Cost-Aware Reinforcement Learning with Action Masking and Projection for Battery Energy Storage Dispatch under Suppressed-Spread Market Shifts (arxiv.org)

Global Ranks Survive, Selected Heads Shift: BOS-Sink Topology under 4-bit Weight-Only Quantization (arxiv.org)

Physics-residual machine learning predicts oxygen-evolution catalyst activity beyond the training range from sparse polarization measurements (arxiv.org)

Preserving Geometric Integrity in Graph Prompting via Measure-Constrained Optimal Transport (arxiv.org)

Predicting Out-of-Distribution Generalization of Neural Operators via Observable Spectral Error Decomposition (arxiv.org)

Feature Suppression and Differential Privacy for Residential Traffic Classification: A Two-Home Federated Study (arxiv.org)

ITSY: Causal Discovery From Irregular Time-Series Data (arxiv.org)

TRACE: Tractable Routing Autoencoder for Clinical ECG (arxiv.org)

RLVR$^{2}$: Reinforcement Learning with Verifiable Rubric-based Ranking (arxiv.org)

Tool-Augmented On-Policy Distillation for LLM Domain Adaptation in Sequence-Based Omics Tasks (arxiv.org)

Blind Thermodynamic Ontology Discovery from Anonymous Experiments (arxiv.org)

Discovering Physical Representation Languages (arxiv.org)

The Evidence Ladder for Reinforcement Learning in Healthcare: From Retrospective Policies to Trusted Interventions (arxiv.org)

What Can a Recurrent State Safely Forget? (arxiv.org)

FIRM-WM: State-factorized factual-interventional recurrent modeling for reward-free visual planning (arxiv.org)

Robust Market Making with Hawkes Order Flow and Price Impact via Adversarial Reinforcement Learning (arxiv.org)

Improved Private Sparse Covariance Estimation with Multiscale Threshold Tests (arxiv.org)

Look Before You Steer: Geometry Predicts SAE Feature Steerability (arxiv.org)

D-IMPL: A Diffusion-based Solver for Parameterized BBOs (arxiv.org)

Autonomous Model Lifecycle Management for Digital Twin-Based Manufacturing Control (arxiv.org)

Predictors and Orchestrators: Parsimonious Machine Learning within an Agentic AI Harness for Multi-Horizon Karst Aquifer Forecasting (arxiv.org)

Hessian Rank Constraint for Learning Structure of Nonlinear Latent Variable Models (arxiv.org)

Adaptive Forgetting for Nonstationary Optimization: Towards Robust EEG Decoding (arxiv.org)

Displacement Geometry Captures Platonic Shared Reality Across Models and Modalities (arxiv.org)

Connected Content Retriever: Dense Graph Edge Features Powering Pre-Ranking at LinkedIn (arxiv.org)

Complex-valued Phase-Coherent Transformers (arxiv.org)

Common Cause, Not Cross-Attention: Blocking Visual Shortcuts in Audio-Video Generation (arxiv.org)

Contrastive Siamese Representation Learning for Predictive Maintenance of Electrical Submersible Pumps (arxiv.org)

Merge++: Universal Merge Refinement Through Data-Free Checkpoint Inversion (arxiv.org)