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
Codes used for the results in the paper: Sensitivity Analysis for a long-time clogging simulation code.
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
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
Uncertainty Quantification for Physical and Biological Models
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
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
Julia package which implements and explores the Likelihood-based Profile Wise Analysis workflow for uncertainty quantification
Simple implementation of one-dimensional simultaneous localisation and mapping.
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