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Uncertainty Quantification

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TitleStatusHype
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural NetworksCode0
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification—0
Outlier-Detection for Reactive Machine Learned Potential Energy SurfacesCode0
Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-ValuesCode0
Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations—0
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification—0
Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction—0
Quantifying neural network uncertainty under volatility clustering—0
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond—0
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests—0
Accuracy-Preserving Calibration via Statistical Modeling on Probability SimplexCode0
Extending the Scope of Inference About Predictive Ability to Machine Learning Methods—0
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods—0
Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks—0
Uncertainty quantification in fine-tuned LLMs using LoRA ensemblesCode0
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes—0
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules—0
Training Bayesian Neural Networks with Sparse Subspace Variational InferenceCode0
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation—0
Extrapolation-Aware Nonparametric Statistical InferenceCode0
Language Models with Conformal Factuality Guarantees—0
Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasksCode0
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers—0
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs—0
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