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Steel Wire Drawing Problem
The dataset used for the steel wire drawing problem. -
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Ti...
Multivariate time series are used in a variety of real-world applications, including meteorology, financial marketing, health care, load forecasting and artificial intelligence... -
Causal Bayesian Optimization
The dataset used in the paper is a combination of two causal graphs, one for prostate cancer study and another for statin dosage study. -
BAYESIMP: Uncertainty Quantification for Causal Data Fusion
The dataset used in the paper is a combination of two causal graphs, one for prostate cancer study and another for statin dosage study. -
Morse Neural Networks for Uncertainty Quantification
The Morse neural network is a deep generative model useful for uncertainty quantification. -
MICCAI-QUBIQ 2020 challenge
Medical image segmentation dataset with multiple annotations and uncertainty quantification -
2D Subject-Specific Computational Head Model
A 2D subject-specific computational head model of a 31-year-old male subject, derived from magnetic resonance imaging (MRI) data, with nonlinear visco-hyperelastic material...