AI News

Q-Edge: Symmetry-Reduced Quantum Simulation of Structured Extreme Dependence (arxiv.org)

Correlated initialization of deep residual networks (arxiv.org)

Semiparametric Inference for Counterfactual Regression under Intervention-Driven Shift (arxiv.org)

Spectral characteristics of autoencoder parameters as a vector representation of data (arxiv.org)

How Perturbations Propagate: A Multi-Level Analysis of Robustness in Large Language Models (arxiv.org)

Discrete Gromov-Wasserstein Duality: Algorithms and Isomorphism Testing (arxiv.org)

Unifying Conformal Language Tasks with In-Context Ensembles (arxiv.org)

Causal Foundation Models (arxiv.org)

Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts (arxiv.org)

No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels (arxiv.org)

TRACE: Spatiotemporal Contact Memory Graph Network Simulator for Granular Dynamics (arxiv.org)

Tail-Likelihood Reinforcement Learning (arxiv.org)

Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs (arxiv.org)

The Geometry of Ignorance: LLMs Know When to Temper Bayesian Priors (arxiv.org)

Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations (arxiv.org)

Towards a Statistical Understanding of Mixture-of-Experts (arxiv.org)

A Closed-Form Formula for Consistent Lipschitz Regression on Metric Spaces with Sparse Neural Network Realizations (arxiv.org)

Occupancy-based Quantile Risk Control (arxiv.org)

From Zero to Hero: An Open LLM Ecosystem for Armenian (arxiv.org)

Sparse auto-regressive modeling for scene generation from multi-view images (arxiv.org)

Comparing Retrieval Methods for Academic Advisor Discovery: A Six-Method Study of 768 CS Faculty Profiles Across 9 US Universities (arxiv.org)

Learning What Not to Forget: Long-Horizon Agent Memory from a Few Kilobytes of Learning (arxiv.org)

PeroMAS: A Multi-agent System of Perovskite Material Discovery (arxiv.org)

VoxPrivacy: A Benchmark for Evaluating Interactional Privacy of Speech Language Models (arxiv.org)

Short-Window Sliding Learning for Real-Time Violence Detection via LLM-based Auto-Labeling (arxiv.org)

Measuring Harmfulness of Computer-Using Agents (arxiv.org)

Building and Evaluating Fixed-Voice Thai TTS from Synthetic Speech (arxiv.org)

BRIDGE: An Open-Source Humanoid Platform via Morphology-Control Co-Design for Physical AI (arxiv.org)

Pattern Over-Generalization of Knowledge Graph Embedding (arxiv.org)

Air-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps (arxiv.org)

When Users Don't Ask: Benchmarking Context-Driven Memory Retrieval in Conversational Agents (arxiv.org)

The Psychological Costs of Artificial Intelligence Adoption in Software Engineering (arxiv.org)

Plan Pointers and Record-Directive Form in Budgeted Verification of Inherited Agent Memory (arxiv.org)

EF1-Constrained Nash Social Welfare with Identical Additive Valuations: Complexity, Guarantees, and Experiments (arxiv.org)

Flip, Don't Shuffle: Watermarking LLMs at the Speed of Inference (arxiv.org)

Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs (arxiv.org)

When Vision Meets Graphs: A Survey on Graph Reasoning and Learning (arxiv.org)

Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning (arxiv.org)

Understanding Autonomous Driving Datasets by Describing Differences between Image Subsets in Natural Language (arxiv.org)

Sionna RT: Technical Report (arxiv.org)

Relative Prime Factorization and Finite-State Presentations under Fixed Finite-Monoid Observation (arxiv.org)

Residual neural networks overcome the curse of dimensionality for semilinear heat equations (arxiv.org)

EPIC: Explicit Posterior Item Conditioning for Semantic ID Diffusion Recommendation (arxiv.org)

Tree species mapping in Denmark: A comparison of spectral-temporal features with geospatial foundation model embeddings (arxiv.org)

Computing stable configurations of confined smectic liquid crystals with a deep variational framework (arxiv.org)

SurgeGen: A Hybrid Generative Diffusion Framework for Storm Surge Scenario Synthesis (arxiv.org)

Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings (arxiv.org)

Grassmann--Pl\"ucker Parametrization of Convolutional Filter Subspaces: Regularity and Closed Embeddings (arxiv.org)

Efficient Constant Optimization for Symbolic Regression with GPU-Accelerated Tree-Based Genetic Programming (arxiv.org)

Learning Informative Prior with Infinite-Dimensional Continuous Normalizing Flow for Bayesian Inverse Problem (arxiv.org)