Sampling via Gradient Flows in the Space of Probability Measures
Chen, Yifan, Daniel Zhengyu Huang, Huang, Jiaoyang, Reich, Sebastian, Stuart, Andrew M
Published in arXiv.org (09.03.2024)
Get full text
Published in arXiv.org (09.03.2024)
Paper
Learning Markovian Homogenized Models in Viscoelasticity
Bhattacharya, Kaushik, Liu, Burigede, Stuart, Andrew M, Trautner, Margaret
Published in arXiv.org (04.06.2022)
Get full text
Published in arXiv.org (04.06.2022)
Paper
Calibrate, Emulate, Sample
Cleary, Emmet, Garbuno-Inigo, Alfredo, Lan, Shiwei, Schneider, Tapio, Stuart, Andrew M
Published in arXiv.org (10.01.2020)
Published in arXiv.org (10.01.2020)
Get full text
Paper
Journal Article
Dimension-Robust MCMC in Bayesian Inverse Problems
Chen, Victor, Dunlop, Matthew M, Papaspiliopoulos, Omiros, Stuart, Andrew M
Year of Publication 08.03.2018
Year of Publication 08.03.2018
Get full text
Journal Article
Learning Homogenization for Elliptic Operators
Bhattacharya, Kaushik, Kovachki, Nikola, Rajan, Aakila, Stuart, Andrew M, Trautner, Margaret
Published in arXiv.org (07.07.2023)
Get full text
Published in arXiv.org (07.07.2023)
Paper
Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs
Batlle, Pau, Chen, Yifan, Hosseini, Bamdad, Owhadi, Houman, Stuart, Andrew M
Published in arXiv.org (08.05.2023)
Get full text
Published in arXiv.org (08.05.2023)
Paper
Iterative Updating of Model Error for Bayesian Inversion
Calvetti, Daniela, Dunlop, Matthew M, Somersalo, Erkki, Stuart, Andrew M
Published in arXiv.org (13.07.2017)
Published in arXiv.org (13.07.2017)
Get full text
Paper
Journal Article
Model Reduction and Neural Networks for Parametric PDEs
Bhattacharya, Kaushik, Hosseini, Bamdad, Kovachki, Nikola B, Stuart, Andrew M
Published in arXiv.org (17.06.2021)
Get full text
Published in arXiv.org (17.06.2021)
Paper