AI News

TraceRelay: Attention-Aligned Recurrence over Rolling Traces (arxiv.org)

Correlational Training of Morphological Neural Networks (arxiv.org)

Uncovering and Fixing Collider Bias in Bayesian PINNs (arxiv.org)

Timer-M1: A Multivariate Time Series Foundation Model via Learning Primitives (arxiv.org)

Constrained Command-Conditioned Reinforcement Learning with Bandit Strategy Selection in Real-Time Strategy Games (arxiv.org)

Lamarck's Driving School: Discovering Autonomous Driving Training Strategies through Evolutionary Competition (arxiv.org)

Evidence-Traceable Dynamic Interviewer Architecture for Expertise-Adaptive Qualitative Interviews Using Local LLMs (arxiv.org)

Where to Adapt Matters: Layer-Selective Fine-Tuning for Capability Retention (arxiv.org)

Addressing Overcommitment in the Reasoning of Gendered Economic Memes under Multimodal Ambiguity (arxiv.org)

4-Tensor Attention Model for Semantic Physical Reality (arxiv.org)

On the Clock: Towards Punctual and Productive Time-Budgeted AI Agents (arxiv.org)

AI-Mediated Self: How HCI Defines and Relates to the Self (arxiv.org)

Whose Ground Truth? Embracing Ambiguity in Human-Centered AI (arxiv.org)

Plan-and-Patch: Diffusion Language Models for Agentic Planning (arxiv.org)

Speaking the Navigator's Language: Trajectory-Grounded Instruction Translation for Frozen Aerial VLN Agents (arxiv.org)

GameCommBench: A Unified Benchmark and Type-Aware Evaluation for AI-Generated Game Commentary (arxiv.org)

Bilevel optimization for data-driven learning of Koopman embeddings using kernel-based autoencoders (arxiv.org)

Self-sufficient Independent Component Analysis for Demixing Flows (arxiv.org)

Closing the Horizon Gap in Policy Optimization for Adversarial MDPs (arxiv.org)

Composite Online-to-Nonconvex Conversion with Optimal Oracle Complexity (arxiv.org)

The Harness as the Only Mutable Surface: Compliance-Bounded Self-Evolution of LLM Agents in Credit Pipelines, with a Measured Admission Gate (arxiv.org)

Verification with Transfer: Exact Information Frontiers and Their Price in Calls (arxiv.org)

Credal Machine Learning for Risk-Averse Decision Making (arxiv.org)

Exploiting Gradients in Bayesian Inference of Expensive Simulators (arxiv.org)

Optimal random quantisers for spherically symmetric distributions (arxiv.org)

Verification and Self-Improvement in Agentic AI: Foundations and Limits (arxiv.org)

Automated Detection of Match Phases in Football from Spatio-Temporal Tracking Data Using Graph Neural Networks (arxiv.org)

Rare Gate Disagreements Can Limit Plasticity: When Gradient Flow Mispredicts Finite-Batch SGD (arxiv.org)

From Geometry to Generalization: Why Row Normalization Can Beat Adam and Muon (arxiv.org)

Regularized Small Area Estimation with Graph Laplacian Benchmarking priors (arxiv.org)

When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization (arxiv.org)

Tight Bounds for Equivalence Testing with Non-Adaptive Conditional Samples (arxiv.org)

Decision-Sufficient Posterior Approximation (arxiv.org)

Sequential Conditional Independence Testing with Machine Learning Models (arxiv.org)

SPD-MetaFormer is what you need for small-data brain decoding (arxiv.org)

Explaining the Saliency Map Sparsity of Adversarially-Trained Neural Networks (arxiv.org)

How Many Directions Must a Truncated Diffusion Sampler Retain? Matching Bounds Under Power-Law Spectra (arxiv.org)

D-SLR: The Disjoint Row-Sparse plus Low-Rank Decomposition (arxiv.org)

Exact SO(3)-Equivariant Isotropic Kernels for Rotation-Robust Neural Dynamics (arxiv.org)

Density Ratio Estimation with Stein Displacement Fields (arxiv.org)

Estimating great expectations under autoregressive language models with potentials (arxiv.org)

Prediction-Powered Data Fusion for Treatment Effect Estimation (arxiv.org)

Testing Algebraic Complete Intersections (arxiv.org)

ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach (arxiv.org)

Quickest Change Detection with Diffusion-Integrated Scores (arxiv.org)

Differentiable Systematic Resampling for Variational Sequential Monte Carlo (arxiv.org)

Diffusion Removes Langevin's Conditioning Dependence: A Sharp Gaussian Analysis (arxiv.org)

Efficient and Generalizable Archetypal Analysis for Discrete Data (arxiv.org)

Efficient quadratic entropy with distance sketches (arxiv.org)

Score-Based Learning of Cluster DAGs from Interventions (arxiv.org)