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Machine Learning
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The newest 5,000 papers, from 12 October 2026 to 5 November 2026: 5,000 arXiv preprints.
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Newest papers, page 47
When Disagreement Labels Do Not Identify F1 Rankings
Agreement labels cancel from an accuracy comparison but can change an F1 ranking.A sensor-driven physics-informed neural network for real-time occupant-centric space heating control
Conventional space heating systems typically rely on single or sparse fixed-point temperature measurements, overlooking non-uniform indoor temperature distributions, transient thermal dynamics, and…Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms
Conformal prediction (CP) provides a distribution-free framework for uncertainty quantification with finite-sample marginal coverage guarantees.Robust EEG-based Emotion Recognition from Coarse Trial-level Labels under Intra-trial Affective Variability
EEG-based emotion recognition has become an active research area in brain-computer interfaces.CacheWeave: Learning to Recompute for Efficient Position-Independent KV Caching
Position-independent caching reuses chunk KV caches across positions and requests.How Does Chain-of-Thought Supervision Teach Models to Reason? A Theoretical Analysis
Training with chain-of-thought (CoT) supervision is an effective approach for teaching models multi-step reasoning procedures.Convex Regression at Scale: Geometry-Preserving Constraint Sparsification
Convex regression provides a flexible nonparametric estimation framework while incorporating appropriate shape information.Evolving Memory, Learning to Meta-Control: Test-Time Adaptation for Experience-augmented LLM Agents
Self-evolving agents accumulate experience from task streams, but existing frameworks typically rely on fixed pipelines to retrieve and utilize this experience, neglecting when and how to deploy it.A Deep Reinforcement Learning Framework for Real-Time Electric Vehicle Charging Management in IoEV-Enabled Smart Cities
The rapid growth of electric vehicles (EVs) in urban environments demands intelligent, decentralised charging management strategies that operate under strict real-time constraints.ReCoG: Relative Node Contexts for Multi-Domain Graph Pre-training
The success of foundation models in language and vision has motivated Graph Foundation Models (GFMs), which learn transferable knowledge through multi-domain graph pre-training.Optimization Frameworks & Learning Algorithms for Discrete-Time Mean Field Games
This monograph introduces discrete-time mean field games with finite state and action spaces, emphasizing optimization formulations and learning algorithms.Silent Reward and Environment Defects in EV Charging Simulation Benchmarks: A Diagnostic Checklist
Reinforcement-learning (RL) benchmarks built on microscopic traffic simulators such as SUMO are increasingly used to compare agent architectures for electric vehicle (EV) charging assignment.Spectral Signatures of Memorization Basins in Diffusion Trajectories
Diffusion models are known to reproduce individual examples from their training data as a form of memorization with implications for generalization, privacy, and downstream use.Detection Instead of Inversion: T1-T2 Microstructure Quantification With Detection Transformers
T1-T2 correlation MRI has strong potential to quantify microstructural compartments without imposing a biological model.Learning AI Agents, Market Makers, and Stress in Automated Markets
Automated markets increasingly route order flow from learning trading agents through automated market makers (AMMs).Domain-Aware Hierarchical Federated Learning for UAV Swarms Across Heterogeneous Environments
Hierarchical federated learning (HFL) enables communication-efficient training in unmanned aerial vehicle (UAV) swarms, but performance degrades under changing and heterogeneous environments.When Does Latent Prediction Error Support Physical Surprise Claims in Video World Models?
Prediction errors from video world models are often treated as physical surprise, but they can also reflect appearance, static content, motion, or ordinary prediction difficulty.ReFrame: Silence-Aware Compute Reclamation for Full-Duplex Speech Models
Full-duplex speech models execute dense model inference for every audio frame throughout a live interaction.Missingness-Aware Prior-Data Fitted Network for Irregular Clinical Time-Series
Clinical time series are irregularly observed with laboratory measurements recorded at uneven intervals and observation patterns often reflecting patient state, clinical concern, and site-specific…Privacy-Preserving ECG-HRV Emotion Classification for Mood Swing Detection using Federated Learning on Constrained Edge Devices
This paper presents a privacy-preserving mood monitoring framework that classifies emotional states from ECG-derived heart rate variability (HRV) features.