AI News

Two-Timescale Hierarchical Reinforcement Learning for Resilient Operations (arxiv.org)

Amortized Bayesian Causal Discovery of Extended Factor Graphs (arxiv.org)

Codifying the Judge: Scalable Evaluation via Program Distillation (arxiv.org)

DSTFView: Multi-View Cloud-Edge Workload Forecasting with Dual-Input Spatio-Temporal-Frequency Modeling (arxiv.org)

FedSLIM: Privacy-Preserving Federated MDL-Based Descriptive Pattern Mining Across Data Silos (arxiv.org)

Causal-TS: A Python Library for Causal Discovery in High-Dimensional and Nonstationary Time Series (arxiv.org)

Distributional Split Criteria for Random Forests: Extensions, Shrinkage, and the Robustness of Mean Splitting (arxiv.org)

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities (arxiv.org)

On a linear fused Gromov-Wasserstein distance for graph structured data (arxiv.org)

Beyond Block Boundaries: Multi-Block Editing for Diffusion Large Language Models (arxiv.org)

Approximate reservoir computing with a semiconductor laser for reducing energy consumption (arxiv.org)

BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage (arxiv.org)

Lexical discovery in unknown environments orchestrated by Large Language Models (arxiv.org)

Neural Representation of Minimal Surfaces (arxiv.org)

Constraint-Bound Agnostic Bayesian Optimization: One Model for All Thresholds (arxiv.org)

An empirical investigation into the properties of standard word embeddings (arxiv.org)

ATLAS: Automated Approximation of Transformers for Efficient Homomorphic Inference in One Hour (arxiv.org)

MPR-CiteG: Enhancing RAG with Multi-Portfolio Retrieval and Citation-Grounded Generation (arxiv.org)

Understanding Machine Unlearning Through the Lens of Mode Connectivity (arxiv.org)

ParBench: A Benchmark for Reliable Evaluation of LLM Parallel Code Translation (arxiv.org)

HeraSys: Collaborative Serving of Multiple LLM Workflows via Fine-Grained End-to-End Optimization (arxiv.org)

Too much evidence, too little time: From text to actionable recommendations through multi-objective evidence reasoning (arxiv.org)

Stacking the Deck: Tunable Trainability in Stacked LCUs (arxiv.org)

When Every Simulation Counts: Value-Based Reinforcement Learning for Accelerated Photonics Inverse Design (arxiv.org)

Variational-Ising-Attention (VIA):TailoredAttentionMattersfor Science (arxiv.org)

An Unofficial FastLAS Tutorial: A Programmer's Guide (arxiv.org)

Decentralized Causal Discovery using Judo Calculus (arxiv.org)

How LLM Task-Adaptation Reshapes Alignment: A Multi-dimensional Study of Behavioral and Representational Drift (arxiv.org)

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects (arxiv.org)

Anticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic Clutter (arxiv.org)

Frequency-Based Reservoir computing (arxiv.org)

Multi-Objective Structured Pruning of LLMs for Latency and Model Size Optimization (arxiv.org)

Bit-Accurate FPGA Evaluation of Learned Feature Gating in a Fixed-Point Fourier-Feature Automatic Modulation Classifier (arxiv.org)

Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World Models (arxiv.org)

A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection (arxiv.org)

Joint Flow Matching for Generator-Consistent Classification (arxiv.org)

Learning switched non-linear dynamical systems from a single trajectory (arxiv.org)

Evaluating Fuzz Testing for Reinforcement Learning Agents (arxiv.org)

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids (arxiv.org)

A Fixed-Effects Causal Forest for Staggered Adoption, with an Application to Medicaid Expansion (arxiv.org)

Co-Learning for Missing Arbitrary Modalities in Multi-modal Classification (arxiv.org)

Training Language Models to Cooperate with Inference-Time Controllers (arxiv.org)

The Scaffold Effect in Coding Agents: Harness Choice as a Hidden Variable in Coding-Agent Evaluation (arxiv.org)

CausalGate: Causal Importance Distillation for Transformer Module Pruning (arxiv.org)

Extending Desbordante with Probabilistic Functional Dependency Discovery Support (arxiv.org)

Explainable Reinforcement Learning via Physics-Aware Policy Distillation (arxiv.org)

IKS-Instruct: A 24,000-Example Multilingual Dataset for Teaching Language Models Indian Knowledge Systems (arxiv.org)

PathRIR: Physics-Guided Acoustic Path Selection and Late-Tail Compensation for Fast Room Impulse Response Simulation (arxiv.org)

To Erase, or Not to Erase: Robust Training-Free Concept Erasure with Preservation aware Adaptive Ranked Subspace Expansion (arxiv.org)

TriSP: Tri-Signal Structured Pruning for Large Language Models (arxiv.org)