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cs.LG updates on arXiv.org

PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models Rethinking Uncertainty in Segmentation: From Estimation to Decision DroneScan-YOLO: Redundancy-Aware Lightweight Detection for Tiny Objects in UAV Imagery Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering The Spectrascapes Dataset: Street-view imagery beyond the visible captured using a mobile platform Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training Context Sensitivity Improves Human-Machine Visual Alignment Depth-Resolved Coral Reef Thermal Fields from Satellite SST and Sparse In-Situ Loggers Using Physics-Informed Neural Networks MyoVision: A Mobile Research Tool and NEATBoost-Attention Ensemble Framework for Real Time Chicken Breast Myopathy Detection Automatic Charge State Tuning of 300 mm FDSOI Quantum Dots Using Neural Network Segmentation of Charge Stability Diagram ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection Visual Sparse Steering (VS2): Unsupervised Adaptation for Image Classification using Sparsity-Guided Steering Vectors Frozen Forecasting: A Unified Evaluation Hybrid Approach for Enhancing Lesion Segmentation in Fundus Images An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning AudioX: A Unified Framework for Anything-to-Audio Generation The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems Heavy-Tailed Class-Conditional Priors for Long-Tailed Generative Modeling A Function-Centric Perspective on Flat and Sharp Minima A Faster Path to Continual Learning Spatial Atlas: Compute-Grounded Reasoning for Spatial-Aware Research Agent Benchmarks Selectivity and Shape in the Design of Forward-Forward Goodness Functions The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior Adaptive Memory Crystallization for Autonomous AI Agent Learning in Dynamic Environments Design Conditions for Intra-Group Learning of Sequence-Level Rewards: Token Gradient Cancellation Spectral Entropy Collapse as a Phase Transition in Delayed Generalisation: An Interventional and Predictive Framework for Grokkin Synthetic Tabular Generators Fail to Preserve Behavioral Fraud Patterns: A Benchmark on Temporal, Velocity, and Multi-Account Signals Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates Automated co-design of high-performance thermodynamic cycles via graph-based hierarchical reinforcement learning Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebysheff Scalarization KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs Does Dimensionality Reduction via Random Projections Preserve Landscape Features? Analog Optical Inference on Million-Record Mortgage Data Out of Context: Reliability in Multimodal Anomaly Detection Requires Contextual Inference Bias-Corrected Adaptive Conformal Inference for Multi-Horizon Time Series Forecasting Counterfactual Peptide Editing for Causal TCR--pMHC Binding Inference Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation Enhancing Confidence Estimation in Telco LLMs via Twin-Pass CoT-Ensembling MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models Physics-informed reservoir characterization from bulk and extreme pressure events with a differentiable simulator Some Theoretical Limitations of t-SNE Concrete Jungle: Towards Concreteness Paved Contrastive Negative Mining for Compositional Understanding Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators Multi-Task LLM with LoRA Fine-Tuning for Automated Cancer Staging and Biomarker Extraction Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models When Less Latent Leads to Better Relay: Information-Preserving Compression for Latent Multi-Agent LLM Collaboration BioTrain: Sub-MB, Sub-50mW On-Device Fine-Tuning for Edge-AI on Biosignals Diffusion Sequence Models for Generative In-Context Meta-Learning of Robot Dynamics Linear Probe Accuracy Scales with Model Size and Benefits from Multi-Layer Ensembling Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models A Triadic Suffix Tokenization Scheme for Numerical Reasoning Evaluating Cooperation in LLM Social Groups through Elected Leadership LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling Seven simple steps for log analysis in AI systems LABBench2: An Improved Benchmark for AI Systems Performing Biology Research COMPOSITE-Stem Reproduction Beyond Benchmarks: ConstBERT and ColBERT-v2 Across Backends and Query Distributions The Amazing Agent Race: Strong Tool Users, Weak Navigators SpectralLoRA: Is Low-Frequency Structure Sufficient for LoRA Adaptation? A Spectral Analysis of Weight Updates Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference Disco-RAG: Discourse-Aware Retrieval-Augmented Generation Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning How Alignment Routes: Localizing, Scaling, and Controlling Policy Circuits in Language Models BadGraph: A Backdoor Attack Against Latent Diffusion Model for Text-Guided Graph Generation Pay Less Attention to Function Words for Free Robustness of Vision-Language Models Detection Is Cheap, Routing Is Learned: Why Refusal-Based Alignment Evaluation Fails SODA: Semi On-Policy Black-Box Distillation for Large Language Models IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net Cost-optimal Sequential Testing via Doubly Robust Q-learning THEIA: Learning Complete Kleene Three-Valued Logic in a Pure-Neural Modular Architecture Not All Forgetting Is Equal: Architecture-Dependent Retention Dynamics in Fine-Tuned Image Classifiers Symmetry Reveals Layerwise Dynamics: How Transformers Perform In-Context Classification TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance RL-Driven Sustainable Land-Use Allocation for the Lake Malawi Basin Deep deterministic policy gradient with symmetric data augmentation for lateral attitude tracking control of a fixed-wing aircraft Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs A Unified Theory of Sparse Dictionary Learning in Mechanistic Interpretability: Piecewise Biconvexity and Spurious Minima Physics-informed AI Accelerated Retention Analysis of Ferroelectric Vertical NAND: From Day-Scale TCAD to Second-Scale Surrogate Model Causally Sufficient and Necessary Feature Expansion for Class-Incremental Learning A Quantitative Definition of Intelligence From Attribution to Action: A Human-Centered Application of Activation Steering ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios Deliberative Alignment is Deep, but Uncertainty Remains: Inference time safety improvement in reasoning via attribution of unsafe behavior to base model A Queueing-Theoretic Framework for Dynamic Attack Surfaces: Data-Integrated Risk Analysis and Adaptive Defense Optimal Stability of KL Divergence under Gaussian Perturbations Where Hindsight Credit Can Reside: A Signed-Capacity View of Token Updates in RLVR Towards Autonomous Mechanistic Reasoning in Virtual Cells Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search Woosh: A Sound Effects Foundation Model MoBiE: Efficient Inference of Mixture of Binary Experts under Post-Training Quantization Detection of Hate and Threat in Digital Forensics: A Case-Driven Multimodal Approach 3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding EfficientSign: An Attention-Enhanced Lightweight Architecture for Indian Sign Language Recognition Unified Multimodal Uncertain Inference
Efficient Time Series Clustering from Multiscale Reservoir Dynamics with Granular-Ball Anchoring Graph Optimization
[Submitted on 10 Jun 2026] · 2026-06-11 · via cs.LG updates on arXiv.org
arXiv:2606.12077v1 Announce Type: new Abstract: Time-series clustering remains challenging due to the inheren…