aleatoric uncertainty

An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression UAI 2026 BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026 Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026 Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty Decomposition ACL 2026 Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models CVPR 2026 Evidential Neural Radiance Fields CVPR 2026 Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint) AAAI 2026 Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach AAAI 2026 Performance of Conformal Prediction in Capturing Aleatoric Uncertainty WACV 2026 Probabilistic Precipitation Nowcasting with Rectified Flow Transformers CVPR 2026 py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks JMLR 2026 QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis ACL 2026 Quantification of Credal Uncertainty: A Distance-Based Approach UAI 2026 Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL 2026 TUNE++: Topology-Guided Uncertainty Estimation for Reliable 3D Medical Image Segmentation MIDL 2026 Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026 Uncertainty Quantification for Regression: A Unified Framework based on kernel scores UAI 2026 Beyond Human Judgment: A Bayesian Evaluation of LLMs’ Moral Values Understanding EMNLP 2025 Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025 CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness ICLR 2025 Decoupling epistemic and aleatoric uncertainties with possibility theory AISTATS 2025 DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis IJCAI 2025 Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection ICCV 2025 Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation WACV 2025 Disentangling Uncertainties by Learning Compressed Data Representation L4DC 2025