AI News

Machine Learning in Fish Farming (arxiv.org)

Finite-Time Node Separation in Recurrent Graph Neural Networks with Persistent Gaussian Perturbations (arxiv.org)

AgentKV: Phase-Aware KV Eviction for Agentic LLMs (arxiv.org)

Minibatch persistency, eight years later: what batch reuse costs in steps and joules, and what it saves in data (arxiv.org)

Exploring napping paradigm for Recurrent Spiking Neural Networks (arxiv.org)

Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data (arxiv.org)

Efficient Online Inverse Optimization with $O(d)$ Regret (arxiv.org)

Learning to Solve Hard Problems in RL for LLMs by Never Giving Up (arxiv.org)

A Machine Learning API for Earth Observation Data Cubes Based on openEO (arxiv.org)

On the Potential of Multi-Task Learning in Predictive Process Monitoring (arxiv.org)

One Spectrum, Two Resources: Data-Memory Scaling in Autoregressive Prediction (arxiv.org)

Pretraining for Sample-Efficient Neural Interfaces (arxiv.org)

A Three-Axis Stress Test of LLM vs Classical ML for Network Intrusion Detection under Distribution Shift and Adversarial Evasion (arxiv.org)

Adaptive Phase-Switching for Communication-Efficient Federated LoRA Fine-Tuning (arxiv.org)

Know When to Stop, Where to Restart: Accelerating Multi-Turn Agentic On-Policy Distillation (arxiv.org)

Mind2Dialogue: Training Human-Aware Language Models by Simulating User Mental States (arxiv.org)

Disentangling Representation Evolution in Transformers through Directional Decomposition (arxiv.org)

Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion (arxiv.org)

Hardware-Aware Learned Representation Compression for Distributed In-Sensor Vision (arxiv.org)

Tabby: An Open Pretraining Recipe for Time Series Foundation Models (arxiv.org)

Data-Efficient Agentic Graph Domain Adaptation via Reliability-Aware Prototype Learning (arxiv.org)

Stabilizing Performative Feedback Loops with Minimal Model Deployments (arxiv.org)

Multi-Modal Tumor Survival Prediction via Graph-Guided Mixture of Experts (arxiv.org)

To do($x$) or not to do($x$): Medical Image Counterfactuals for Dataset Augmentation (arxiv.org)

LIMBO: Lifelong Inference-Time Memory and Budget Optimization for LLM Agents (arxiv.org)

T-SMART: Mechanism-Level Attribution for Tool-Augmented Time-Series Question Answering (arxiv.org)

Signatures of Steerability in Activation Space of Language Models (arxiv.org)

Impute-EM: Native Mixed-State Diffusion Models for Heterogeneous Data Imputation (arxiv.org)

Admissable: Training Reinforcement Learning Agents against Adversarial Missingness (arxiv.org)

When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning (arxiv.org)

Single-condition neural solvers encode transferable response spaces for parametric differential equations (arxiv.org)

The Universe of Universes: Benefit Yield Functions, Implosion Thresholds, and Infrastructure-Aware Optimization in Multi-LLM Systems (arxiv.org)

Robust and Efficient Communication for Multi-Agent Learning (arxiv.org)

Representing Clinical Conditions on Vital Signs from Healthy Individuals using Latent Modeling (arxiv.org)

CodeTS: Verifiable Text-to-Time Series Generation via Executable Code (arxiv.org)

On the role of the tokenizer in ECG transformer models (arxiv.org)

GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection (arxiv.org)

Task-Aware Federated Fine-Tuning for MoE-based Large Language Models (arxiv.org)

IMM-based Multiple Object Tracking using a State Prediction Neural Network (arxiv.org)

Task-Based CT Protocol Optimization Using Reinforcement Learning and Virtual Imaging Trials (arxiv.org)

Feasibility and Memory Mechanisms of Chern-Simons Context Reservoir Computation (arxiv.org)

Decoupling Error Attribution in Cloud-Native Graph-RAG: A Data Integrity Diagnostic Framework (arxiv.org)

Pedestrian Crossing Intent Classification From Event-Based Vision Using Convolutional Spiking Neural Networks With Temporal Augmentation (arxiv.org)

The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment (arxiv.org)

Bridging Thought and Action: Taming Long-Horizon Instability in Open-Source LLM Agents with a MetaTool-Enhanced ROS Framework (arxiv.org)

ProtoCAM: Interpretable Few-Shot Mask-Guided Prototypical Learning for Breast Lesion Classification in Ultrasound Imaging (arxiv.org)

SkillAtlas: An Attack Trace Library for Agent Skills (arxiv.org)

Chance-Constrained Belief-Space Maneuver Planning for Autonomous Collision Avoidance Under Uncertainty (arxiv.org)

Hindsight Bias in Clinical Temporal Reasoning: How Future Data Exposure Affects Large Language Model Judgment (arxiv.org)

Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks (arxiv.org)