Submitted manuscripts and preprints

  1. Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller and Andrew M. Stuart, “Posterior consistency of semi-supervised regression on graphs” (2020). url:
  2. Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, and Youssef M. Marzouk, “Conditional sampling with monotone GANs” (2020). url:
  3. Kaushik Bhattacharya, Bamdad Hosseini, Nikola B. Kovachki, and Andrew M. Stuart “Model reduction and neural networks for parametric PDEs” (2020). url:
  4. Bamdad Hosseini and James E. Johndrow “Spectral gaps and error estimates for infinite-dimensional Metropolis-Hastings with non-Gaussian priors” (2019). url:
  5. Franca Hoffmann, Bamdad Hosseini, Assad A. Oberai and Andrew M. Stuart “Spectral analysis of weighted Laplacians arising in data clustering” (2019). url:
  6. Nicolas Garcia Trillos, Franca Hoffmann and Bamdad Hosseini “Geometric structure of graph Laplacian embeddings” (2019). url:

Published articles

  1. 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:
  2. 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:
  3. 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:
  4. 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:
  5. 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:
  6. 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:
  7. 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: .
  8. 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:
  9. 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:
  10. 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: