AI News

Near-Optimal Sample Complexity for Recursive Entropic Risk Reinforcement Learning with a Generative Model (arxiv.org)

The Premise Is the Problem: Exchangeability Failure in Self-Monitored Test-Time Adaptation (arxiv.org)

Multi-Task Active Learning with Efficient Resource Allocation (arxiv.org)

DeepAJM: Deep Association Joint Model for Irregularly Sampled data (arxiv.org)

A perspective note on likelihood approximation and inference for complex simulation models using a chain of aggregated normalizing flows (arxiv.org)

Vine Copula VAR:From Recursive Margins to Joint Forecast Inference (arxiv.org)

Active Feature Acquisition for Cost-Efficient Temporal Prediction with Reduced Participant Burden (arxiv.org)

A Response Theory Probe for Learned Stochastic AI Simulators, Tested on Lorenz-63 (arxiv.org)

AID: A Framework for AI Infrastructure Dynamics (arxiv.org)

Uncovering Cross-Objective Interference in Multi-Objective Alignment (arxiv.org)

TAPDreamer: Transferable Adversarial Patches for World Action Models (arxiv.org)

Local2Mesh: Spatially Localized Contour-to-Mesh for Left Ventricular Reconstruction from Sparse 2D Cardiac MRI (arxiv.org)

A Systematic Analysis of the Predictive Power of LM Surprisal in Reading Chinese (arxiv.org)

More Value per Key: Asymmetric Sparse Attention for Faster LLM Decoding (arxiv.org)

Data-driven measures of high-frequency trading (arxiv.org)

To Learn is to Wander: Learning Across Graphs and Tasks with Random Walks (arxiv.org)

Improving Proactive AI Assistance with Hierarchical Procedural Understanding (arxiv.org)

Lossy Compression of PDE Training Inputs: Field Reconstruction Error Does Not Order the Cost to a Trained Operator (arxiv.org)

E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation (arxiv.org)

Bridging the EHR Divide: Asymmetric Contrastive Learning for Cross-National Medical Representation Transfer (arxiv.org)

Foresight-over-Graph: Reasoning Beyond Local Horizons for Knowledge Base Question Answering (arxiv.org)

Test-Time Adaptation of Quantized ViTs via Single-Pass Quantizer-Aligned Recalibration (arxiv.org)

How Much Planning Is Enough? Reducing Search and Computation in World-Model Planning (arxiv.org)

Transferable Spatial Temporal Coherence Adversarial Attack on Black-Box Vision Language Models for Autonomous Driving (arxiv.org)

MARCO: The Radioactive Watermark for Protein Generative Models (arxiv.org)

MASC: A Multi-Agent Self-Calibration Framework with Latent Construct Alignment for Consistent Client Role-Playing in Psychological Counseling (arxiv.org)

MoF: Preference-Aware Mixture Modeling for Black-Box LLM Personalization (arxiv.org)

Calibration Is Not Control: Intervention Value for LLM-Agent Oversight (arxiv.org)

RAM-Net: Linear-Time Sequence Modeling with Sparsely Addressable State (arxiv.org)

Rethinking Fine-Tuning: Unlocking Hidden Capabilities in Vision-Language Models (arxiv.org)

Variational Physics-Informed Ansatz for Reconstructing Hidden Interaction Networks from Steady States (arxiv.org)

Optimal Transportation and Alignment Between Gaussian Measures (arxiv.org)

A Footprint-Aware, High-Resolution Approach for Carbon Flux Prediction Across Diverse Ecosystems (arxiv.org)

Micro Neural Policies for Safe Real-Time Robotic Control (arxiv.org)

Honesty over Accuracy: Trustworthy Language Models through Reinforced Hesitation (arxiv.org)

Direct Regret Optimization in Bayesian Optimization (arxiv.org)

KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches (arxiv.org)

Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption (arxiv.org)

Variance-Optimal Off-Policy Evaluation with Conjunct Effect Modeling (arxiv.org)

Multi-Label Perceptual Bug Detection in Video Games using Deep Learning on Gameplay Footage (arxiv.org)

AdaLoop: Adaptive-Depth Latent Reasoning for Audio Language Models (arxiv.org)

CNet: A Complex-Valued Deep Learning Framework with Wirtinger Autodifferentiation and FFT--Hadamard Convolution (arxiv.org)

Random Feature Gaussian Process Attention: Linear-Time Probabilistic Attention with Calibrated Uncertainty (arxiv.org)

FRAGMENTA: Efficient End-to-end Fragmentation-based Generative Model with Agentic Tuning for Drug Lead Optimization in Small Data Regime (arxiv.org)

Universe of Thoughts: A Computational Framework for Creative Reasoning in Large Language Models (arxiv.org)

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search (arxiv.org)

When Explanations Compete: Policy-Aware Selection Under Uncertainty (arxiv.org)

4D-HOF: Hand-Object Flow Matching for Feed-Forward 4D Interaction Reconstruction (arxiv.org)

How Learning Governs Unlearning across the Memorization-Generalization Spectrum (arxiv.org)

FlowCF: Sparse Counterfactual Explanations for Mixed-Type Tabular Data using Flow Matching (arxiv.org)