Boltzmann Machine; Undirected Graphical Models; Generative Models in Geology

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AI Hardware DURIP Grant Awarded

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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