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
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
Bayesian neural networks in PyTorch
Official code of the ICML24 paper: "Winner-takes-all learners are geometry-aware conditional density estimators"
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
An infrastructure resilience web application to integrate graph neural networks (GNNs) for GIS visualization.
Reproducible experiments conducted in the paper 'Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-Values'.
A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial data
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
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