Bamdad Hosseini
California Institute of Technology
H-index: 13
North America-United States
Top articles of Bamdad Hosseini
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps | arXiv preprint arXiv:2403.15630 | Mohammad Al-Jarrah Bamdad Hosseini Amirhossein Taghvaei | 2024/3/22 |
A kernel framework for learning differential equations and their solution operators | Physica D: Nonlinear Phenomena | Da Long Nicole Mrvaljević Shandian Zhe Bamdad Hosseini | 2024/2/15 |
Diffeomorphic Measure Matching with Kernels for Generative Modeling | arXiv preprint arXiv:2402.08077 | Biraj Pandey Bamdad Hosseini Pau Batlle Houman Owhadi | 2024/2/12 |
Kernel methods are competitive for operator learning | Journal of Computational Physics | Pau Batlle Matthieu Darcy Bamdad Hosseini Houman Owhadi | 2024/1/1 |
Kernel Regression Method for Stochastic Real-time State Estimation in Power Grid | Masoud Barati Mohammad Ensaf Bamdad Hosseini | 2023/4/27 | |
Optimal transport particle filters | Mohammad Al-Jarrah Bamdad Hosseini Amirhossein Taghvaei | 2023/12/13 | |
Conditional Optimal Transport on Function Spaces | arXiv preprint arXiv:2311.05672 | Bamdad Hosseini Alexander W Hsu Amirhossein Taghvaei | 2023/11/9 |
Bayesian posterior perturbation analysis with integral probability metrics | arXiv preprint arXiv:2303.01512 | Alfredo Garbuno-Inigo Tapio Helin Franca Hoffmann Bamdad Hosseini | 2023/3/2 |
Optimal Transport-based Nonlinear Filtering in High-dimensional Settings | arXiv preprint arXiv:2310.13886 | Mohammad Al-Jarrah Niyizhen Jin Bamdad Hosseini Amirhossein Taghvaei | 2023/10/21 |
An approximation theory framework for measure-transport sampling algorithms | arXiv preprint arXiv:2302.13965 | Ricardo Baptista Bamdad Hosseini Nikola B Kovachki Youssef M Marzouk Amir Sagiv | 2023/2/27 |
From optimization to sampling through gradient flows | arXiv e-prints | N Garcia Trillos B Hosseini D Sanz-Alonso | 2023/2 |
Spectral gaps and error estimates for infinite-dimensional Metropolis–Hastings with non-Gaussian priors | The Annals of Applied Probability | Bamdad Hosseini James E Johndrow | 2023/6 |
Error analysis of kernel/GP methods for nonlinear and parametric PDEs | arXiv preprint arXiv:2305.04962 | Pau Batlle Yifan Chen Bamdad Hosseini Houman Owhadi Andrew M Stuart | 2023/5/8 |
A kernel approach for PDE discovery and operator learning | arXiv preprint arXiv:2210.08140 | Da Long Nicole Mrvaljevic Shandian Zhe Bamdad Hosseini | 2022/10/14 |
Intrinsic Sparsity of Kantorovich solutions | arXiv preprint arXiv:2205.03213 | Bamdad Hosseini Stefan Steinerberger | 2022/5/5 |
Spectral analysis of weighted Laplacians arising in data clustering | Applied and Computational Harmonic Analysis | Franca Hoffmann Bamdad Hosseini Assad A Oberai Andrew M Stuart | 2022/1/1 |
An optimal transport formulation of Bayes’ law for nonlinear filtering algorithms | Amirhossein Taghvaei Bamdad Hosseini | 2022/12/6 | |
Posterior consistency of semi-supervised regression on graphs | Inverse Problems | Andrea L Bertozzi Bamdad Hosseini Hao Li Kevin Miller Andrew M Stuart | 2021/9/30 |
Simultaneous model calibration and source inversion in atmospheric dispersion models | Pure and Applied Geophysics | Juan G García Bamdad Hosseini John M Stockie | 2021/3 |
Model reduction and neural networks for parametric PDEs | The SMAI journal of computational mathematics | Kaushik Bhattacharya Bamdad Hosseini Nikola B Kovachki Andrew M Stuart | 2021 |
Co-Authors
