Paper: Computer model calibration as a method for design
-
Updated
Jan 21, 2021 - TeX
Paper: Computer model calibration as a method for design
MCMC for Uncertainty Quantification
Research on Entity Matching Problem
Code for the paper "Stochastic analysis of the electromagnetic induction effect on a neuron's action potential dynamics"
Uncertainty quantification fo ML - collection of scripts, tutorials and templates
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Official code of the ICML24 paper: "Winner-takes-all learners are geometry-aware conditional density estimators"
Bayesian neural networks in PyTorch
Practice space for solving linear and nonlinear Bayesian inverse problems using neural networks
Tools for efficient global sensitivity analyses for models with correlated input parameters.
Sentinel-2 Top-Of-Atmosphere Radiometric Uncertainty Propagator (Graf et al., 2023, IEEE-JSTARS)
Notice board for UQ lab at ITAM
Machine Learning Concepts with code
Official implementation of Operator-ProbConserv: OOD UQ for Neural Operators
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors paper presented @ICLR2024
MOBASY energy performance calculation
Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
Uncertainty Quantification Management System
Code for Connection between Uncertainty Quantification and Gaussian Prior Parameters
Uncertainty Quantification in python using Monte-Carlo simulation
Add a description, image, and links to the uncertainty-quantification topic page so that developers can more easily learn about it.
To associate your repository with the uncertainty-quantification topic, visit your repo's landing page and select "manage topics."