AI News

Numerical Fragility in Transformers: A Layer-wise Theory for Risk Estimation and Selective Stabilization (arxiv.org)

CorVS+: Correspondence-Driven Association of Video Trajectories and Sensors for Identity-Aware Person Localization in Warehouses (arxiv.org)

gp2Scale: A Class of Compactly Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points (arxiv.org)

Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consensus-based Approach (arxiv.org)

Automatic Stability and Recovery for Neural Network Training (arxiv.org)

Toward User-Conditioned Evaluation of Personal LLM Agents under Temporal Interventions (arxiv.org)

Measuring the Dependency Gap: Diagnosing Inter-Column Fidelity in Tabular Generative Models (arxiv.org)

Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees (arxiv.org)

On the Depth Scalability of Logic Gate Networks (arxiv.org)

MotifRole-Diff: Risk-Optimal Role-Aware Corruption for Masked Molecular Graph Diffusion (arxiv.org)

Physiological Signals as a Forensic Modality for Talking-Face Deepfake Detection (arxiv.org)

Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness (arxiv.org)

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA (arxiv.org)

A Graph-Based Control Interface for Traffic Signals on Heterogeneous Road Networks (arxiv.org)

Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression (arxiv.org)

LeAct: Learning to Reason from Expert Actions (arxiv.org)

Variance-Reduced Q-Learning over Static and Time-Varying Networks (arxiv.org)

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement (arxiv.org)

MissHyper: Restoring Clinical Synchronicity in Missingness-Guided Hypergraph Forecasting (arxiv.org)

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention (arxiv.org)

LatentFlow: Visual Analytics for Latent Space Analysis in Molecular Graph Neural Networks (arxiv.org)

Multi-Agent Debate and Visual Information Extraction for SeePhys Pro: A 1st-Place Technical Report from ICML 2026 AI4Math Track 3 Challenge (arxiv.org)

Trajectory-Regularized Stochastic Optimal Control via KL Divergence (arxiv.org)

Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning (arxiv.org)

On the Convergence of Stochastic Low-Rank Adaptation (arxiv.org)

From Perturbation Correction to Geometry-Aware Sampling: Sharpness-Guided Equilibrium Sampling for Balanced Flat Minima in Long-Tailed Learning (arxiv.org)

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers (arxiv.org)

Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits (arxiv.org)

Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection (arxiv.org)

Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting (arxiv.org)

General Value Functions for Remaining Useful Life and Failure-Mode Prediction (arxiv.org)

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning (arxiv.org)

A Defense of the Quadratic Model (arxiv.org)

Longitudinal Random Forests for Sparse and Irregular Response Trajectories (arxiv.org)

Ask for More Than Bayes Optimal: A Theory of Indecisions for Selective Hypothesis Testing (arxiv.org)

Reconstruction of Enhanced Causal Omnidirectional Network (RECON) (arxiv.org)

Breaking the Data Barrier in Learning Symbolic Computation: A Case Study on Variable Ordering Suggestion for Cylindrical Algebraic Decomposition (arxiv.org)

Cross-reality location privacy protection in 6G-enabled vehicular metaverses: an LLM-enhanced hybrid generative diffusion model-based approach (arxiv.org)

Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning (arxiv.org)

Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks (arxiv.org)

Graph-Based Correlation Matrix Generation: A Convex Optimization Approach (arxiv.org)

CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference (arxiv.org)

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration (arxiv.org)

TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternary Complex (arxiv.org)

Unbiased Open World Regularization for Fair Self-Supervised Learning (arxiv.org)

Latent PDE mapping for efficient physics-informed learning across geometries with limited data (arxiv.org)

Optimization of time-consuming experimental conditions using pseudo-experimental data guided by adaptive polynomial regression (arxiv.org)

IFCLoRA: Topology-Aware Rank Allocation for Parameter-Efficient Fine-Tuning (arxiv.org)

Class-Balanced Softmax: A Bayes Theory-Based Method for Long-Tailed Recognition (arxiv.org)

Autoregressive EHR Foundation Models with Multimodal Inputs (arxiv.org)