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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? 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What Uncertainties Do We Need for Dynamical Systems?
[Submitted on 10 Jun 2026] · 2026-06-11 · via cs.LG updates on arXiv.org
arXiv:2606.11988v1 Announce Type: new Abstract: The distinction between aleatoric and epistemic uncertainty h…