| 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 | 334 | 2021 |
| Solving and learning nonlinear PDEs with Gaussian processes Y Chen, B Hosseini, H Owhadi, AM Stuart Journal of Computational Physics 447, 110668, 2021 | 132 | 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 | 57 | 2017 |
| On regularizations of the Dirac delta distribution B Hosseini, N Nigam, JM Stockie Journal of Computational Physics 305, 423-447, 2016 | 49 | 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 | 40 | 2017 |
| Bayesian estimation of airborne fugitive emissions using a Gaussian plume model B Hosseini, JM Stockie Atmospheric Environment 141, 122-138, 2016 | 37 | 2016 |
| Conditional sampling with monotone GANs N Kovachki, R Baptista, B Hosseini, Y Marzouk arXiv preprint arXiv:2006.06755 2, 12, 2020 | 27 | 2020 |
| Kernel methods are competitive for operator learning P Batlle, M Darcy, B Hosseini, H Owhadi Journal of Computational Physics 496, 112549, 2024 | 25 | 2024 |
| 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 | 25 | 2022 |
| Geometric structure of graph Laplacian embeddings NG Trillos, F Hoffmann, B Hosseini Journal of Machine Learning Research 22 (63), 1-55, 2021 | 25 | 2021 |
| Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods F Hoffmann, B Hosseini, Z Ren, AM Stuart Journal of Machine Learning Research 21 (186), 1-55, 2020 | 24 | 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 | 23 | 2011 |
| 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 | 19 | 2022 |
| Dispersion of pollutants in the atmosphere: A numerical study B Hosseini Simon Fraser University, 2013 | 18 | 2013 |
| Posterior consistency of semi-supervised regression on graphs AL Bertozzi, B Hosseini, H Li, K Miller, AM Stuart Inverse Problems 37 (10), 105011, 2021 | 15 | 2021 |
| Two Metropolis-Hastings algorithms for posterior measures with non-Gaussian priors in infinite dimensions B Hosseini arXiv preprint arXiv:1804.07833, 2018 | 14 | 2018 |
| 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 | 13 | 2017 |
| From optimization to sampling through gradient flows NG Trillos, B Hosseini, D Sanz-Alonso Notices of the American Mathematical Society 70 (6), 2023 | 12 | 2023 |
| Conditional sampling with monotone GANs: from generative models to likelihood-free inference R Baptista, B Hosseini, NB Kovachki, Y Marzouk arXiv preprint arXiv:2006.06755, 2020 | 12 | 2020 |
| An approximation theory framework for measure-transport sampling algorithms R Baptista, B Hosseini, NB Kovachki, YM Marzouk, A Sagiv arXiv preprint arXiv:2302.13965, 2023 | 10 | 2023 |
John StockieSimon Fraser UniversityVerified email at math.sfu.ca
