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12/14/2020
Variational State and Parameter Estimation
This paper considers the problem of computing Bayesian estimates of both...
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11/09/2020
Practical Bayesian System Identification using Hamiltonian Monte Carlo
This paper addresses Bayesian system identification using a Markov Chain...
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04/24/2020
Bayesian Non-parametric Bragg-edge Fitting for Neutron Transmission Strain Imaging
Energy resolved neutron transmission techniques can provide high-resolut...
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02/05/2020
Linearly Constrained Neural Networks
We present an approach to designing neural network based models that wil...
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09/04/2019
Deep kernel learning for integral measurements
Deep kernel learning refers to a Gaussian process that incorporates neur...
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05/16/2017
