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    Uncertainty Quantification for Density Functional Theory Calculations

    Uncertainty Quantification for Density Functional Theory Calculations

    How certain are we of the accuracy of DFT simulations? In this project we try to provide an answer through a framework to quantify the...
    Uncertainty Quantification and Propagation for Alloys using the Cluster Expansion

    Uncertainty Quantification and Propagation for Alloys using the Cluster Expansion

    What confidence can we have in alloy property calculations when we use surrogate models? In this project, we develop a Bayesian UQ...
    Deep Gaussian Process Post #1

    Deep Gaussian Process Post #1

    Intro to DGP and everything...
    Featured Posts
    Our new website is launched today.

    Our new website is launched today.

    Recent Posts
    AI Hardware DURIP Grant Awarded

    AI Hardware DURIP Grant Awarded

    Boltzmann Machine; Undirected Graphical Models; Generative Models in Geology

    Undirected Graphical Models; Deep Learning for Fluid Mechanics

    Approximate Inference; Convolutional Neural Networks; Stein's Method

    Parallel approaches for the Bayesian Gaussian process latent variable model; Regularization in optim

    Simulation models for groundwater flow modeling; Cluster Expansion and Introduction to Alloy Theoret

    UQ in Groundwater Modeling, State Space Models

    A Review of Markov and hidden Markov Model, Regularization in Deep Learning

    Implementation of Neural Nets in PyTorch

    Deep Feedforward Networks, Bayesian Gaussian Process Latent Variable Model

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