AI News

Harness^2: Recursive Agent Harnessing for an Open World (arxiv.org)

Echo: Error-Compensated 4-Bit Tensor-Parallel Communication for LLM Training and Inference (arxiv.org)

ConicFlow: constrained Inference-time optimal control for flow matching models (arxiv.org)

Omni-Modal LLMs Know More Than They Say (arxiv.org)

Query Your Way Out: Benchmarking Multi-Turn Knowledge Reasoning through Generalized Puzzle Solving (arxiv.org)

Historical-Feature Residual Adaptation for Sequential Screening (arxiv.org)

Structure-aware Bayesian full waveform inversion via diffusion-regularized Stein variational gradient descent (arxiv.org)

Test-Time Forecasting: Recurrent Depth Enables In-Context Dynamics Prediction (arxiv.org)

Student Copula Markov Networks (arxiv.org)

Neural Supervised Clustering for Learning Individualized Treatment Rules with Many Treatments (arxiv.org)

Conformalized Physics-Informed Weak Regression for Parameter Estimation in Epidemic Models (arxiv.org)

Discrete Diffusion Models are Minimax Optimal Under Sparsity (arxiv.org)

Semi-Amortized Bayesian Inference with Reusable Local Posteriors (arxiv.org)

Asymptotic Behavior of Transformers (arxiv.org)

Projected Wasserstein-Fisher-Rao Flows for Hawkes Background-Intensity Estimation (arxiv.org)

Generalizing Identifiability Results in Causal Discovery from Complete Data to Missing Data Settings (arxiv.org)

Wong--Zakai Convergence and FNO Learning for Stochastic Volterra Equations (arxiv.org)

Bayesian Causal Forests for Zero-Inflated Continuous Outcomes (arxiv.org)

A Large-Dimensional Analysis of Least-Squares Federated Learning via Generalized Total Variation Minimization (arxiv.org)

On Global Joint Lower Bounds in Zeroth-Order Nonconvex Optimization (arxiv.org)

Large-Step Last-Iterate Convergence of Random-Reshuffling Stochastic Gradient Descent (arxiv.org)

Posterior Frequencies and the Cost of Not Fitting: A Correction to a Memorization Lower Bound (arxiv.org)

Delay Complexity Dimension: Learning with Delayed and Censored Labels (arxiv.org)

Riding the Fixed-Point Curve: Image Classification in the Continuous Thought Machine (arxiv.org)

Narrowing the Collaboration Gap, Probably (arxiv.org)

FireGraphNet: Sub-daily wildfire spread prediction with directed graph neural networks (arxiv.org)

What You Sign Is Not What You Run: The Verifiability Gap in Quantized LLM Supply Chains (arxiv.org)

Continuum Attention (arxiv.org)

Dynamic Graph World Modelling: Learning Future Dynamics from Temporal Context (arxiv.org)

Maximum likelihood, neural networks and posterior mean for inferring fractional Brownian motion parameters (arxiv.org)

Neural Wasserstein Splines: Representation-Invariant Second-Order Priors for Trajectory Inference (arxiv.org)

Efficient contextual partial monitoring with general function approximation (arxiv.org)

Asymptotically Exact Negative Guidance of Diffusion Models via Positive-Unlabeled Learning (arxiv.org)

BFHD: Bidirectional Feature Harmonization Decomposition for Heterogeneous Clinical Assessments (arxiv.org)

From Global to Tail Convergence: Dynamics of $\alpha$-Stable Score-Based Generative Models (arxiv.org)

Annealed L\'{e}vy Diffusion via Gaussian Surrogate Reverse Dynamics (arxiv.org)

Function-Space Temporal Self-Distillation for Policy Optimization (arxiv.org)

Subdata Selection for Measurement-Constrained Linear Regression under Model Misspecification (arxiv.org)

Outperforming 1000 Euclidean Layers With Hyperbolic Goal-Conditioned RL (arxiv.org)

Embedding Geometry Shapes LLM Routing: Tracing Failure Modes and Improving Generalization (arxiv.org)

What Information Buys in Active Inference (arxiv.org)

Loss Curvature as a Sampling-Free Proxy for Memorization in Diffusion Models (arxiv.org)

Limits of Statistical Assurance for Embodied and Agentic AI under Adaptive Adversaries (arxiv.org)

Linear regression with probabilistic networks for network-linked data (arxiv.org)

Thompson Sampling for Learning in Zero-Sum Games (arxiv.org)

Inverse Reasoning Models for Efficient Post-Training and Verification from Answer-Only Data (arxiv.org)

The minimal width of neural networks and immersions of real projective space (arxiv.org)

Mixed Poisson diffusion models and application to posterior sampling (arxiv.org)

Backpropagating Verifier Rewards Through Continuous Flow Language Models (arxiv.org)

Weighted Adjoint Matching: Finetuning Flow Matching Models with Time-Dependent Control Cost (arxiv.org)