AI News

Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization (arxiv.org)

Slow Beats Fast at the Kesten-Stigum Threshold: Minimax, Fisher-Information and Belief-Propagation Characterizations of the Information-Computation Gap in Sparse Stochastic Block Models (arxiv.org)

Just for FUNS: LLM-Guided Spatio-Temporal Graph Node Generation for Forecasting Unobserved Node States (arxiv.org)

Exact Dynamics and Finite-Sample Trajectory Recovery of Linear Recursive Feature Machines (arxiv.org)

Best Arm Identification for Bandits with Shifting Means (arxiv.org)

Derivative Gaussian Processes on a Two-Direction Budget (arxiv.org)

Safe Meta-Policy Design with Risk Control (arxiv.org)

Dataset Pruning from First Principles: A Label-Free Linear Programming Approach (arxiv.org)

RoBART: Bayesian Additive Regression Trees with Tree-Specific Rotations (arxiv.org)

Broadly Applicable Approximate MCMC for Switching Stochastic Differential Equations Using Uniformization and Time-Conditioned Factorized Neural Likelihood Estimation (arxiv.org)

Universal Local Error and Realized Amplification for the First-Order EDM Predictor (arxiv.org)

Kinetic Langevin Meets Split Gibbs: Accelerated Posterior Sampling for Imaging Inverse Problems with Diffusion Priors (arxiv.org)

Conformal Prediction for Spatially Dependent Data via Sequential Whitening (arxiv.org)

Towards Calibrated Probabilistic Forecasts for Events of Interest via Outcome-Conditional Recalibration (arxiv.org)

Gaussian Equivalence for Multi-Head Self-Attention (arxiv.org)

A Bayesian Mirror Architecture for Emergent Consciousness: Circular Hierarchies, Self-Manifolds, and Hybrid Event-Self Binding (arxiv.org)

Controlling Dependence in Implicit Generative Models via Spread Mutual Information (arxiv.org)

Extreme Binary Classification: Extreme Value Theory for Extreme Constraint on False Negative (arxiv.org)

Possibilistic Radial Transport for Approximate IM Inference (arxiv.org)

Sparsifying Stochasticity, Not Capacity: Partial Stochasticity via Deep Weight Factorization of Prior Scales (arxiv.org)

Scalable Logistic Gaussian Process Density Regression with Kinetic Langevin Sampling (arxiv.org)

Unpaired Canonical Correlation Analysis (arxiv.org)

Reflected Anchored Langevin Algorithms (arxiv.org)

Adjoint-Based Calibration and Optimal Control of Stochastic Multiscale Bioprocess Digital Twins (arxiv.org)

Covariate-dependent Joint Modeling of Multivariate Ordinal Preferences and Its Connections with Comparison Models (arxiv.org)

Learning Transition Kernels of Jump-Diffusion Processes with Conditional Diffusion Models (arxiv.org)

Quadratic Weak-to-Strong Generalization in Random Feature Networks via Random Matrix Theory (arxiv.org)

Certified by Abstention: Distribution-Free Guarantees for Chain-of-Thought Verifiers at Small Calibration Budgets (arxiv.org)

Careful Judge: Safe and Efficient Human-AI Collaborative Decision Making (arxiv.org)

Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space (arxiv.org)

The Impact of Likelihood Tempering on the Limiting Predictive Moments of Variational Bayesian Linear Neural Networks (arxiv.org)

Data Reuse in Non-Stationary Learning (arxiv.org)

Order-Optimal Sample Complexity of Rectified Flows (arxiv.org)

A Multi-Source Ultrasound Benchmark Revealing the Limits of Contemporary Self-Supervised Anomaly Detection Methods (arxiv.org)

Q-PhotoMarket: A Design Space Exploration Framework for Photonic Hybrid Quantum Neural Networks in Financial Market Prediction (arxiv.org)

Tracing Inputs, Verifying Outputs: Validating Attribution in Music Generation (arxiv.org)

Quantum anomaly detection in real scarce data (arxiv.org)

How Do Agentic LLMs Decide to Call Tools? A Tool-Call Vector Shaped by Suppression (arxiv.org)

Second-order optimization of variable projection SVM models and road abnormality detection (arxiv.org)

Residual Learning in Empirical Asset Pricing (arxiv.org)

PEACE: Covariant learning of nonadiabatic manifolds with parity-resolved Hamiltonians (arxiv.org)

Constitution-Guided Watermarking (arxiv.org)

It Is Not Seeing the Hazard: A Frozen Vision-Language Safety Score Measures Its Caption Bank (arxiv.org)

TERRA: Learning Transportable Latent Actions through Temporal Effect Representation and Relational Alignment (arxiv.org)

SpatialUQ: Post-Hoc Uncertainty Quantification from Spatial Consistency in Black-Box Vision Models (arxiv.org)

Sparse Feature Policy Unlearning Mitigates State Hallucination in Vision-Language-Action Models (arxiv.org)

An Invariant Tangent-Angle Descriptor and a Band U-Net for 2D Fragment Adjacency Prediction (arxiv.org)

The Persona Hierarchy Model: Understanding Contextual Generalization in Fine-Tuning LLMs (arxiv.org)

Immiscible Diffusion Policy: Preserving Multimodal Robot Actions through Label-Free Noise Assignment (arxiv.org)

Closing the Loop on Contrail Avoidance with Satellite Verification (arxiv.org)