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05/07/2022
Variational Inference for Nonlinear Inverse Problems via Neural Net Kernels: Comparison to Bayesian Neural Networks, Application to Topology Optimization
Inverse problems and, in particular, inferring unknown or latent paramet...
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12/17/2021
GP-HMAT: Scalable, O(nlog(n)) Gaussian Process Regression with Hierarchical Low-Rank Matrices
A Gaussian process (GP) is a powerful and widely used regression techniq...
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07/19/2021
Robust Topology Optimization Using Variational Autoencoders
Topology Optimization is the process of finding the optimal arrangement ...
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03/29/2021
A bandit-learning approach to multifidelity approximation
Multifidelity approximation is an important technique in scientific comp...
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12/29/2020
Visualization of topology optimization designs with representative subset selection
An important new trend in additive manufacturing is the use of optimizat...
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07/14/2020
Designed Quadrature to Approximate Integrals in Maximum Simulated Likelihood Estimation
Maximum simulated likelihood estimation of mixed multinomial logit (MMNL...
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08/30/2018
Parametric Topology Optimization with Multi-Resolution Finite Element Models
We present a methodical procedure for topology optimization under uncert...
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04/17/2018