AI News

Algorithmic and Minimax Complexities in Kernel Bandits (arxiv.org)

COGENT: Continuous Graph Emulators with Neural Ordinary Differential Equations for Long-Term Physical Forecasting (arxiv.org)

First-Order Trajectory Matching: Fast Ensemble Predictions of Chaotic, Turbulent, Stochastic Systems (arxiv.org)

Robust Regression of General ReLUs with Queries (arxiv.org)

Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference (arxiv.org)

RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty (arxiv.org)

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents (arxiv.org)

Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study (arxiv.org)

torch-sla: Differentiable Sparse Linear Algebra with Adjoint Solvers and Sparse Tensor Parallelism for PyTorch (arxiv.org)

V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions (arxiv.org)

Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making (arxiv.org)

On the Condition Number Dependency in Bilevel Optimization (arxiv.org)

TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning (arxiv.org)

Whisfusion: Parallel ASR Decoding with Masked Diffusion (arxiv.org)

How can we assess human-agent interactions? Case studies in software agent design (arxiv.org)

ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering (arxiv.org)

Overcoming Rank Collapse in Feedback Alignment (arxiv.org)

TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning (arxiv.org)

Efficiently Learning Drifting Halfspaces with Massart Noise (arxiv.org)

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning (arxiv.org)

Unifying Local Communications and Local Updates for LLM Pretraining (arxiv.org)

Exploring the Design Space of Reward Backpropagation for Flow Matching (arxiv.org)

DAH-Net: A Dual-Attention Hybrid Network for Interpretable and Robust EEG-Based Emotion Recognition (arxiv.org)

Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors (arxiv.org)

MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning (arxiv.org)

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs (arxiv.org)

Rethinking the Flow-Based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective (arxiv.org)

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance (arxiv.org)

SCOPE: Sequential Causal Optimization of Process Interventions (arxiv.org)

Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processes (arxiv.org)

When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models (arxiv.org)

Fact-Augmented Lookahead Planning for LLM Agents (arxiv.org)

A Machine Learning Theory Perspective on Strategic Litigation (arxiv.org)

FreshRetailNet-LT: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail (arxiv.org)

CITRAS: Covariate-Informed Transformer for Time Series Forecasting (arxiv.org)

Influence Dynamics and Stagewise Data Attribution (arxiv.org)

Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling (arxiv.org)

Conditional Vendi Score: Prompt-Aware Diversity Evaluation for Generative AI Models and LLMs (arxiv.org)

Active-Passive Federated Learning for Vertically Partitioned Multi-view Data (arxiv.org)

Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions (arxiv.org)

Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting (arxiv.org)

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey (arxiv.org)

The Emergence of Reproducibility and Generalizability in Diffusion Models (arxiv.org)

DMT: Demographic Conditioning, Morphology-Enhanced Transformer for Cuffless Blood Pressure Estimation from PPG Signals (arxiv.org)

Multimodal Brain Tumour Classification Using Feature Fusion (arxiv.org)

Do Transformers Actually Help Intrusion Detection? A Temporal Sequence Evaluation on CIC-IDS2017 (arxiv.org)

POPSICLE: Benchmark Datasets for Segmentation and Localization in CryoET (arxiv.org)

ANCHOR: Autoregressive Non-intrusive Chunk-Ordered Refinement for Joint Multi-Resolution Speech Quality Modeling (arxiv.org)

What Demonstration Curation Metrics Do to Your Policy (arxiv.org)

Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding (arxiv.org)