epistemic uncertainty

Generative Data Mining with Longtail-Guided Diffusion ICML 2025 Improving Uncertainty Estimation with Confidence-Aware Training Data WACV 2025 Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems AAAI 2025 Monte Carlo ExtremalMask: Uncertainty Aware Time Series Model Interpretability For Critical Care Applications MLHC 2025 OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS ICCV 2025 On Information-Theoretic Measures of Predictive Uncertainty UAI 2025 On Rollouts in Model-Based Reinforcement Learning ICLR 2025 On Subjective Uncertainty Quantification and Calibration in Natural Language Generation AISTATS 2025 Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations AAAI 2025 Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents ICML 2025 Provable Uncertainty Decomposition via Higher-Order Calibration ICLR 2025 Random-Set Neural Networks ICLR 2025 Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens ICML 2025 Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach CVPR 2025 The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models EMNLP 2025 The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models EMNLP 2025 Things Machine Learning Models Know That They Don’t Know AAAI 2025 Towards Open-Ended Discovery for Low-Resource NLP EMNLP 2025 Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation CVPR 2025 Truthful Elicitation of Imprecise Forecasts UAI 2025 UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model ICML 2025 Uncertainty Aware Interest Point Detection and Description WACV 2025 Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures CoRL 2025 Uncertainty-Aware Scene Understanding via Efficient Sampling-Free Confidence Estimation CoRL 2025 Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory ICML 2025