AI News

LoRA-RC: Reservoir Computing with Low-Rank Adaptation (arxiv.org)

Affective Agent: On-Device Personalized Intervention Reasoning for Wearable Systems (arxiv.org)

AIM: A Privacy-Aware Interoperable Memory Framework for Multi-Agent Multi-User LLM Systems (arxiv.org)

Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks (arxiv.org)

Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models (arxiv.org)

Robust Prototypical Networks for Few-Shot Sensor Fault Diagnosis (arxiv.org)

BRIDGE-EEG: Bridging Self-Supervised Pretraining and Efficient Deployment for Cross-Dataset EEG Classification (arxiv.org)

QuPAINT: Physics-Aware Multimodal Reasoning for Quantum Material Characterization (arxiv.org)

GAUGE: When Not to Trust LLM-as-a-Judge in User-Simulated Evaluation of Task-Oriented Agents (arxiv.org)

Agentic TCAD Calibration Workflow for Oxide Semiconductor Transistors (arxiv.org)

Direct Topology Tracking in Continuous Implicit Models (arxiv.org)

Receiver-Surface Hit Patterns via Legendre Approximation for Molecular Signal Detection (arxiv.org)

Hierarchical Prototype Emergence in Modern Hopfield Models (arxiv.org)

Efficient Vision-Language-Action Management and Serving for Robot Factories (arxiv.org)

Fast BIB simulation at a future Muon Collider with generative machine learning (arxiv.org)

Impact of Multiple Non-Invasive Biosignals on Cardiovascular Biomarker Estimation via Simulation-Based Inference (arxiv.org)

Exact ReLU realization of binary affine refinement iterates via reflection folding and cone switching (arxiv.org)

R2VC: Modular Fact-Checking with Retrieval, Verification, and Confidence Calibration (arxiv.org)

Scenario-Independent Criticality Assessment and Prediction for Vulnerable Road Users in Autonomous Driving (arxiv.org)

Hyperion: An AI-powered HPC cluster for sciences and humanities research that utilizes ML for predicting job turnaround time (arxiv.org)

PinDCO: Whole-Page Aware Dynamic Creative Optimization at Scale (arxiv.org)

The Battery Price of edge AI: A study of the Environmental Impact of LLM Inference on Mobile Devices (arxiv.org)

One Simple Trick for Improving the Performance of Energy-Limited Local Inference and Training (arxiv.org)

Towards Sustainable Hydrogen Systems: Supply Chain Optimization with Model Predictive Control and Reinforcement Learning (arxiv.org)

MAxBench: A Multinomial Concept Recovery Benchmark (arxiv.org)

CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models (arxiv.org)

A Unified and Constrained View of Regularization-Based Robust Reinforcement Learning (arxiv.org)

MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling (arxiv.org)

Robust Policy Optimization via Adversarial Importance Sampling (arxiv.org)

DynSHAP: Towards Explainable Dynamic Survival Analysis (arxiv.org)

FRIST: FMRI Representation Informed Shared-space Training Improves EEG-only Individual-Finger BCI Decoding (arxiv.org)

Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries (arxiv.org)

Attention Quantization for Tabular Foundation Models (arxiv.org)

Dual-guided Hierarchical Edge Localization for Large-scale Optimal Transport Across Dimensions (arxiv.org)

Information-Induced Training Geometry: Exact Reduction, Canonical Completion, and Structured Expressivity (arxiv.org)

A Large-Scale AIS Dataset from Finnish Water (arxiv.org)

Offline Reinforcement Learning for Wind Farm Control: A Wind Tunnel Study under Dynamic Wind Directions (arxiv.org)

Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning (arxiv.org)

Physical-State-Guided Diffusion Sampling for Full-Waveform Inversion (arxiv.org)

Behavior Quotient Learning for Low-Rank Adaptation of LLM Agents (arxiv.org)

Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach (arxiv.org)

Large Distant Gradients Need Not Be Reliable: reliability-weighted credit assignment for long-horizon autoregressive forecasting (arxiv.org)

What an odour descriptor corpus can and cannot measure: valence, attenuation, and the ceiling of the public record (arxiv.org)

Learning the Geometry of Collider Events with Metric-Aware Deep Sets (arxiv.org)

GenOR-Twin: A Semantic Middleware for Integrating Operational Discourse with Mathematical Optimization (arxiv.org)

RunningTensor: Generalizing Linear Attention to Higher-Order Recurrent States (arxiv.org)

VertiFuseX: Generalizable Financial Forecasting via Multi-Stream Temporal Fusion (arxiv.org)

Curriculum-Based Adversarial Heterogeneous Agent Reinforcement Learning for Autonomous Quad-Copter Landing in Maritime Settings (arxiv.org)

Optimizing for the decision not the prediction: an exploration of Smooth Net Benefit as a training objective (arxiv.org)

Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation (arxiv.org)