Submitted manuscripts and preprints
- Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei, “Optimal Transport Particle Filters” (2023), https://arxiv.org/abs/2304.00392
- Alfredo-Garbuno Inigo, Tapio Helin, Franca Hoffmann, Bamdad Hosseini, “Bayesian Posterior Perturbation Analysis with Integral Probability Metrics” (2023), https://arxiv.org/abs/2303.01512
- Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk, Amir Sagiv, “An Approximation Theory Framework for Measure-Transport Sampling Algorithms” (2023), https://arxiv.org/abs/2302.13965
- Nicolas Garica Trillos, Bamdad Hosseini, Daniel Sanz-Alonso, “From Optimization to Sampling Through Gradient Flows” (2023), https://arxiv.org/abs/2302.11449
- Da Long, Nicole Mrvaljevic, Shandian Zhe, Bamdad Hosseini, ” A Kernel Approach for PDE Discovery and Operator Learning” (2022), https://arxiv.org/abs/2210.08140
- Bamdad Hosseini and James E. Johndrow “Spectral gaps and error estimates for infinite-dimensional Metropolis-Hastings with non-Gaussian priors” (2023, In Press). https://arxiv.org/abs/1810.00297.
- Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, and Youssef M. Marzouk, “Conditional sampling with monotone GANs” (2020). https://arxiv.org/abs/2006.06755
Published articles
- Bamdad Hosseini and Stefan Steinerberger, “Intrinsic Sparsity of Kantorovich solutions“. Comptes Rendus
Mathématique (2022), https://doi.org/10.5802/crmath.392 - Amirhossein Taghvaei and Bamdad Hosseini, “An Optimal Transport Formulation of Bayes’ Law for Nonlinear Filtering Algorithms”. IEEE 61st
Conference on Decision and Control (2022), https://arxiv.org/pdf/2203.11869.pdf - Franca Hoffmann, Bamdad Hosseini, Assad A. Oberai and Andrew M. Stuart “Spectral analysis of weighted Laplacians arising in data clustering”. Applied and Computational Harmonic Analysis 56 (2021), pp 189-249. https://doi.org/10.1016/j.acha.2021.07.004
- Yifan Chen, Bamdad Hosseini, Houman Owhadi and Andrew M. Stuart, “Solving and Learning Nonlinear PDEs with Gaussian Processes”. Journal of Computational Physics 447 (2021), pp 110668. https://doi.org/10.1016/j.jcp.2021.110668
- Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller and Andrew M. Stuart, “Posterior consistency of semi-supervised regression on graphs”, Inverse Problems 37 (10 2021), pp 105011. http://iopscience.iop.org/article/10.1088/1361-6420/ac1e80
- Kaushik Bhattacharya, Bamdad Hosseini, Nikola B. Kovachki, and Andrew M. Stuart “Model reduction and neural networks for parametric PDEs”. The SMAI Journal of Computational Mathematics 7 (2021), pp 121-157. https://doi.org/10.5802/smai-jcm.74
- Nicolas Garcia Trillos, Franca Hoffmann and Bamdad Hosseini “Geometric structure of graph Laplacian embeddings”. Journal Of Machine Learning Research 22 (2021), pp 1−55. url:https://jmlr.org/papers/v22/19-683.html
- Franca Hoffmann, Bamdad Hosseini, Zhi Ren and Andrew M. Stuart “Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods”. Journal Of Machine Learning Research 21 (2020), pp 1-55. url:https://jmlr.org/papers/v21/15-900.html
- Juan G. Garcia, Bamdad Hosseini and John M. Stockie “Simultaneous model calibration and source inversion in atmospheric dispersion models”. Pure and Applied Geophysics (2019), pp 1–20. url:https://doi.org/10.1007/s00024-019-02348-4
- Bamdad Hosseini. “Two Metropolis-Hastings algorithms for posterior measures with non-Gaussian priors in infinite dimensions”. SIAM/ASA Journal on Uncertainty Quantification 7 (4 2019), pp. 1185–1223. url: https://doi.org/10.1137/18M1183017
- Bamdad Hosseini, Charles Mougenot, Samuel Pichardo, Elodie Constantiel, James Drake, and John M Stockie. “A Bayesian approach for estimating acoustic aberrations in high intensity focused ultrasound treatment”. Communications in Computational Physics 25 (5 2019), pp. 1564–1590. url: https://doi.org/10.4208/cicp.OA-2018-0007
- Bamdad Hosseini. “Well-posed Bayesian inverse problems with infinitely divisible and heavy-tailed prior measures”. SIAM/ASA Journal on Uncertainty Quantification 5 (1 2017), pp. 1024–1060. url: https://doi.org/10.1137/16M1096372
- Bamdad Hosseini and Nilima Nigam. “Well-posed Bayesian inverse problems: priors with exponential tails”. SIAM/ASA Journal on Uncertainty Quantification 5 (1 2017), pp. 436–465. url: https://doi.org/10.1137/16M1076824.
- Bamdad Hosseini and John M Stockie. “Estimating airborne particulate emissions using a finite- volume forward solver coupled with a Bayesian inversion approach”. Computers and Fluids 154 (2017), pp. 27–43. url: https://doi.org/10.1016/j.compfluid.2017.05.025 .
- Bamdad Hosseini and John M. Stockie. “Bayesian estimation of airborne fugitive emissions using a Gaussian plume model”. Atmospheric Environment 141 (2016), pp. 122–138.url: http://dx.doi.org/10.1016/j.atmosenv.2016.06.046.
- Bamdad Hosseini, Nilima Nigam, and John M. Stockie. “On smooth regularizations of the Dirac delta distribution”. Journal of Computational Physics 305 (2016), pp. 423–447. url: http://dx.doi.org/10.1016/j.jcp.2015.10.054.
- Bamdad Hosseini and Roohollah Hashemi. “Solution of Burgers’ equation using a local-RBF meshless method”. International Journal for Computational Methods in Engineering Science and Mechanics 12.1 (2011), pp. 44–58. url: http://dx.doi.org/10.1080/15502287.2010.540303.