AI News

Mixed Engression: Distributional Regression for Multivariate Mixed-Type Responses (arxiv.org)

Structure and Exact Certification of Nonnegative Tensor Decompositions (arxiv.org)

Latent-Space Importance Weighting under Covariate Shift (arxiv.org)

Don't Forget What You Just Learned: Self-Directed Repair Turns Agent Mistakes Into Lasting Lessons (arxiv.org)

Uniform ergodicity and spectral gap of importance-tempered MCMC with heavy-tailed targets (arxiv.org)

A Randomized Permutation Whole-Model Test Heuristic for Self-Validated Ensemble Models (SVEM) (arxiv.org)

Covariance-Informed Ensemble Score Filtering: Embedding Localized Covariance Geometry into Score-Based Transport (arxiv.org)

Data Quality Audit and Bivariate Temperature-Humidity Analysis of a Long-Term LoRaWAN Network: Anomaly Detection, PCA, Clustering and Machine Learning (arxiv.org)

From Dueling Bandits to Episodic MDPs: Learning with Adversarial Preference Feedback (arxiv.org)

Conformalized Polynomial Chaos Expansion for Uncertainty-aware Surrogate Modeling (arxiv.org)

Softly Symbolifying Kolmogorov-Arnold Networks (arxiv.org)

Guided Zero-Shot Anomaly Explanation for Anonymized Crowd Video Monitoring: Context, Categorization, and Spatial Localization (arxiv.org)

HyScale: Scaling Long-Context Training for Learned Sparse Attention (arxiv.org)

Towards robust long-context understanding of large language model via active recap learning (arxiv.org)

Beyond the Monolithic Scheduler: Lightweight Adaptive Policy Switcher for Process Scheduling Optimization (arxiv.org)

Machine-Readable Operator Manuals over the ISO 11783 Network for Offline, Multilingual LLM Assistance (arxiv.org)

Operationalising Weaker Faithfulness: Recovery, Ambiguity and Computational Limits (arxiv.org)

$M^3$: A Multi-LLM System for Multi-Turn Jailbreaking as a Markov Decision Process (arxiv.org)

Learning to Be Monitored: Causal Bounds and Intervention-Aware Post-Training Recipes for Chain-of-Thought Monitorability (arxiv.org)

Phronix: The Capability-Centric Learning Paradigm for Agents (arxiv.org)

Knowing When to Stop: The Evidence-Action Gap in Coding Agents (arxiv.org)

Random Jump Forests (arxiv.org)

TACS-RF: Tool-driven Agentic Circuit Synthesis of RF and mmWave Modules (arxiv.org)

Compatible Likelihoods for Flow Matching on Manifolds (arxiv.org)

Strongly Adaptive Online Learning with Time-Varying Movement Costs (arxiv.org)

Neural LoFi with Backward Coupling: A Spectral Theory of Cross-Layer Feature Learning (arxiv.org)

Generalization properties of the token perceptron: the role of embedding and vocabulary (arxiv.org)

Singular Geometry of Low-Rank Adaptation (arxiv.org)

Optimal Multiclass Online Regret with Arbitrary Label Spaces (arxiv.org)

PPO vs. SAC: A Comparative Study for Cooperative Motion Control of Dual-Arm Space Robots (arxiv.org)

Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow (arxiv.org)

Patronizing and Condescending Language Detection in English and Mandarin (arxiv.org)

Complementing DINO Features with Image Structure for Part Discovery (arxiv.org)

Beyond Pattern Matching in 3D MLLMs: Part-Level Functional Reasoning for Generalizable Recognition (arxiv.org)

Effectiveness of Curriculum Learning Depends on Reward Sparsity and Competing Optima (arxiv.org)

Learning Structured Sparsity for Large Models: Bridging Model Compressibility and Efficient Inference (arxiv.org)

Heterogeneous Space Data Centers: A Key Paradigm for Future Non-Terrestrial and In-Orbit Services (arxiv.org)

CauProphet: Teaching Agents to Develop Causal Cognition like Humans (arxiv.org)

Controlled Evaluation of EEG Foundation Models: Random Initialisation, Band-Power and Validation-Selected Probes (arxiv.org)

MI-MIDI 2: From Observation to Control with Sparse Autoencoders in Text-to-MIDI Generation (arxiv.org)

SWE-Clar: Can Coding Agents Clarify Incomplete Client Requirements and Deliver Greenfield Software? (arxiv.org)

Mitigating the Likelihood Paradox in Flow-based OOD Detection: An Entropic Perspective (arxiv.org)

OmniSpectra: A Unified Foundation Model for Universal Spectra Representation Learning (arxiv.org)

PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support (arxiv.org)

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: An Empirical Assessment (arxiv.org)

ChoreoStudio: Planning What, When, and Who in Music-Driven Group Choreography (arxiv.org)

Representation Learning via Composite Subspace Flow Matching (arxiv.org)

Tokamak-SI: Interpreting Tokamak Discharges with Labeled Catalogs (arxiv.org)

Anti-coherence Regularized Absolute Scaling for Out-of-Distribution Detection (arxiv.org)

Head Dimension Matters in Language Models for Long-Context Retrieval (arxiv.org)