Bamdad Hosseini
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Model reduction and neural networks for parametric PDEs
K Bhattacharya, B Hosseini, NB Kovachki, AM Stuart
The SMAI journal of computational mathematics 7, 121-157, 2021
Solving and learning nonlinear PDEs with Gaussian processes
Y Chen, B Hosseini, H Owhadi, AM Stuart
Journal of Computational Physics 447, 110668, 2021
Well-posed Bayesian inverse problems: priors with exponential tails
B Hosseini, N Nigam
SIAM/ASA Journal on Uncertainty Quantification 5 (1), 436-465, 2017
On regularizations of the Dirac delta distribution
B Hosseini, N Nigam, JM Stockie
Journal of Computational Physics 305, 423-447, 2016
Well-posed Bayesian inverse problems with infinitely divisible and heavy-tailed prior measures
B Hosseini
SIAM/ASA Journal on Uncertainty Quantification 5 (1), 1024-1060, 2017
Bayesian estimation of airborne fugitive emissions using a Gaussian plume model
B Hosseini, JM Stockie
Atmospheric Environment 141, 122-138, 2016
Conditional sampling with monotone GANs
N Kovachki, R Baptista, B Hosseini, Y Marzouk
arXiv preprint arXiv:2006.06755, 2020
Solution of Burgers’ equation using a local-RBF meshless method
B Hosseini, R Hashemi
International Journal for Computational Methods in Engineering Science and …, 2011
Geometric structure of graph Laplacian embeddings
NG Trillos, F Hoffmann, B Hosseini
The Journal of Machine Learning Research 22 (1), 2934-2988, 2021
Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods
F Hoffmann, B Hosseini, Z Ren, AM Stuart
The Journal of Machine Learning Research 21 (1), 7549-7603, 2020
Dispersion of pollutants in the atmosphere: A numerical study
B Hosseini
Simon Fraser University, 2013
Spectral analysis of weighted Laplacians arising in data clustering
F Hoffmann, B Hosseini, AA Oberai, AM Stuart
Applied and Computational Harmonic Analysis 56, 189-249, 2022
Estimating airborne particulate emissions using a finite-volume forward solver coupled with a Bayesian inversion approach
B Hosseini, JM Stockie
Computers & Fluids 154, 27-43, 2017
Two Metropolis-Hastings algorithms for posterior measures with non-Gaussian priors in infinite dimensions
B Hosseini
arXiv preprint arXiv:1804.07833, 2018
Posterior consistency of semi-supervised regression on graphs
AL Bertozzi, B Hosseini, H Li, K Miller, AM Stuart
Inverse Problems 37 (10), 105011, 2021
An optimal transport formulation of bayes’ law for nonlinear filtering algorithms
A Taghvaei, B Hosseini
2022 IEEE 61st Conference on Decision and Control (CDC), 6608-6613, 2022
A Bayesian approach for energy-based estimation of acoustic aberrations in high intensity focused ultrasound treatment
B Hosseini, C Mougenot, S Pichardo, E Constanciel, JM Drake, ...
arXiv preprint arXiv:1602.08080, 2016
Spectral gaps and error estimates for infinite-dimensional Metropolis-Hastings with non-Gaussian priors
B Hosseini, JE Johndrow, 2019
Geometric structure of graph laplacian embeddings
N Garcia Trillos, F Hoffmann, B Hosseini
arXiv e-prints, arXiv: 1901.10651, 2019
Airborne contaminant source estimation using a finite-volume forward solver coupled with a Bayesian inversion approach
B Hosseini, JM Stockie
arXiv preprint arXiv:1607.03518, 2016
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