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 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.