AI News

Kalman Delta Networks: Uncertainty-aware Associative Memory (arxiv.org)

Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime Physics (arxiv.org)

Decomposition-Guided Diffusion Language Models for Inertial Confinement Fusion Prediction (arxiv.org)

A Theoretical Analysis of Generalization Dynamics in Neural Networks under Gradient Descent with Weight Decay (arxiv.org)

Local gradient neural operator (arxiv.org)

Guiding Worker Self-Selection in Crowdsourcing Contests: An LLM-Augmented Algorithmic Approach (arxiv.org)

Attributing Cohen's d: Training Data Attribution for Disease-Related Effects in Normative Age Biomarkers (arxiv.org)

ParetoTransport: Generative Optimization by Mass Transport Toward The Pareto Front (arxiv.org)

Emergent Charging Coordination in Electric Delivery Fleets (arxiv.org)

On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing (arxiv.org)

MpSub: A Momentum $p$-Dimensional Subspace Trust-Region Method for Derivative-Free Fine-Tuning of Large Language Models (arxiv.org)

Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs (arxiv.org)

Online Surrogate Repair: Decoupling High-Fidelity Feedback from Search Length in Closed-Loop Discovery (arxiv.org)

Translation of Black-Box Clinical Prediction Models into Standalone Transparent Nomograms: Temporal External Validation in Heart Transplantation (arxiv.org)

CLUES-WEASEL: No additional clues required to choose your time series clustering algorithm (arxiv.org)

Beyond the Matrix Sign: Quadratic Spectral Descent (arxiv.org)

I Don't Miss You, but I Do: Self-Explanation Faithfulness of Modality Missingness in Vision-Language Models (arxiv.org)

We Built a Mirror and Mistook It for a Mind: Causal Liability and the Fallacy of AI Consciousness (arxiv.org)

Who Maintains Agent Skills? A Longitudinal Study of Human-Governed, AI-Assisted Skill Maintenance (arxiv.org)

Full-Page Optical Music Recognition of Handwritten Monophonic Scores (arxiv.org)

TamilEOT: A Dataset and Model for Semantic End-of-Turn Detection in Tamil Telephone Speech (arxiv.org)

The Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization (arxiv.org)

Rethinking One-Shot Federated Graph Learning: Training-Free Statistical Estimation (arxiv.org)

Compressed Recurrent Feedback in Tsetlin Machines: A Reproducible Boolean-FSM Study (arxiv.org)

Sparse Incident-Cluster Learning for 12-hour Port Flood Pre-warning in Digital-Twin Analytics (arxiv.org)

DataFlex-RL: An Evaluation Platform for RLVR Data Policies (arxiv.org)

VERPO: Verified Evidence Regularized Policy Optimization (arxiv.org)

Bi-HYCO: Bi-Objective Cooperative Learning for PDE Parameter Identification under Fragmented Observations (arxiv.org)

A Computational Implementation of a Goal-Directed Theory of Affect (arxiv.org)

FMMO: Detecting the Divergence Between Local Attribution and Global Drift (arxiv.org)

Granular-Ball Quantum Clustering for Resource-Efficient and Robust Learning (arxiv.org)

Memory in Deep Time-Series Models (arxiv.org)

DART: Distributional Adversarial Recurrent Training for Algorithm Learning (arxiv.org)

Machine Learning for Pre-Culture ESBL Risk Stratification to Guide Empiric Antibiotic Selection: A 12-Hospital Study of Enterobacteriaceae Cultures (arxiv.org)

On-the-go Forgetting without Explicit Unlearning via ERASE (arxiv.org)

LoGIC: Budgeted Context Construction for Node-Level Graph In-Context Learning with Tabular Foundation Models (arxiv.org)

QGB-W$k$NN: Quantum Granular-Ball Learning for Robust Classification (arxiv.org)

Learning to Price and Stock Under Contextual and Censored Demand (arxiv.org)

Interpretable and Fair Generalized Additive Neural Networks via Multi-objective Learning (arxiv.org)

Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems (arxiv.org)

One Rate Is Not Enough: Adaptive Anisotropic Learning Rates for LoRA Fine-Tuning (arxiv.org)

CALM: Class-wise Agreement and Label-gated Disagreement Modulation for Decentralized Federated Learning (arxiv.org)

PhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us (arxiv.org)

Beyond Retraining-Free MoE Compression: A Cost-Normalized Study of Post-Compression Adjustment (arxiv.org)

Grounded and Faithful P&ID Reasoning: Constraining Vision-Language Models with Recovered Evidence Graphs (arxiv.org)

A budget-dependent crossover between coverage- and response-based training-set selection for machine-learned interatomic potentials (arxiv.org)

A First-Order Learning Algorithm for Online Resource Allocation with Constant Regret (arxiv.org)

Beyond Arbitrary Geometry: Topology Generalization In neural PDE Operators (arxiv.org)

MOLE: Detecting Insider Threats in AI Agents (arxiv.org)

Selective Posterior Margin Regularization for Forward-Corrected Classification (arxiv.org)