Picture for Brian Staber

Brian Staber

CREST

Learning signals defined on graphs with optimal transport and Gaussian process regression

Add code
Oct 21, 2024
Viaarxiv icon

Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels

Add code
Feb 06, 2024
Viaarxiv icon

MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability

Add code
May 22, 2023
Viaarxiv icon

Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization

Add code
Jan 31, 2023
Figure 1 for Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
Figure 2 for Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
Figure 3 for Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
Figure 4 for Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
Viaarxiv icon

Quantitative performance evaluation of Bayesian neural networks

Add code
Jun 08, 2022
Figure 1 for Quantitative performance evaluation of Bayesian neural networks
Figure 2 for Quantitative performance evaluation of Bayesian neural networks
Figure 3 for Quantitative performance evaluation of Bayesian neural networks
Figure 4 for Quantitative performance evaluation of Bayesian neural networks
Viaarxiv icon