Paper: Computer model calibration as a method for design
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Updated
Jan 21, 2021 - TeX
Paper: Computer model calibration as a method for design
MCMC for Uncertainty Quantification
Bayesian neural networks in PyTorch
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Welcome to UMUQ, University of Michigan's Uncertainty Quantification Framework!
Project source code and data for machine-learning-enhanced risk mitigation strategies.
Code and documentation from density UQ review paper.
Implementation of the Polya completion algorithm for uncertainty restoration of the marginal MDP model
Compute uncertainties in GWP and AGWP for environmental flows following Taylor approximation approach used in the IPCC Climate Change report from 2013.
Notice board for UQ lab at ITAM
Presentations for Geilo Winter School 2015
Uncertainty Quantification Management System
Code for Connection between Uncertainty Quantification and Gaussian Prior Parameters
Uncertainty Quantification in python using Monte-Carlo simulation
The Matlab tool for Prediction Uncertainty Analysis (PUA) integrates Profile Likelihood analysis with Bayesian sampling.
Repository for the paper "Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks", accepted in the 2022 ICML workshop on "Machine Learning for Astrophysics"
Uncertainty-Guided Online Test-time Adaptation via Meta-Learning
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