| 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 | 177 | 2021 |
| Solving and learning nonlinear PDEs with Gaussian processes Y Chen, B Hosseini, H Owhadi, AM Stuart Journal of Computational Physics 447, 110668, 2021 | 60 | 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 | 49 | 2017 |
| On regularizations of the Dirac delta distribution B Hosseini, N Nigam, JM Stockie Journal of Computational Physics 305, 423-447, 2016 | 43 | 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 | 36 | 2017 |
| Bayesian estimation of airborne fugitive emissions using a Gaussian plume model B Hosseini, JM Stockie Atmospheric Environment 141, 122-138, 2016 | 30 | 2016 |
| Conditional sampling with monotone GANs N Kovachki, R Baptista, B Hosseini, Y Marzouk arXiv preprint arXiv:2006.06755, 2020 | 25 | 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 | 21 | 2011 |
| Geometric structure of graph Laplacian embeddings NG Trillos, F Hoffmann, B Hosseini The Journal of Machine Learning Research 22 (1), 2934-2988, 2021 | 19 | 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 | 17 | 2020 |
| Dispersion of pollutants in the atmosphere: A numerical study B Hosseini Simon Fraser University, 2013 | 17 | 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 | 16 | 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 | 11 | 2017 |
| Two Metropolis-Hastings algorithms for posterior measures with non-Gaussian priors in infinite dimensions B Hosseini arXiv preprint arXiv:1804.07833, 2018 | 10 | 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 | 9 | 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 | 6 | 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 | 4 | 2016 |
| Spectral gaps and error estimates for infinite-dimensional Metropolis-Hastings with non-Gaussian priors B Hosseini, JE Johndrow https://arxiv.org/pdf/1810.00297.pdf, 2019 | 3 | 2019 |
| Geometric structure of graph laplacian embeddings N Garcia Trillos, F Hoffmann, B Hosseini arXiv e-prints, arXiv: 1901.10651, 2019 | 3 | 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 | 3 | 2016 |
John StockieSimon Fraser UniversityVerified email at math.sfu.ca
