Best Ph.D. Thesis Award obtained by my student Ba-Hien Tran, Doctoral School of Sorbonne University, France, 2023

Best Paper Award, The Biennial Pattern Recognition Journal Award, 2008

B.-H. Tran, G. Franzese, P. Michiardi, and M. Filippone. One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. In NeurIPS, 2023.

B.-H. Tran, S. Rossi, D. Milios, and M. Filippone. All you need is a good functional prior for Bayesian deep learning. Journal of Machine Learning Research, 23(74):1--56, 2022.

S. Marmin and M. Filippone. Deep gaussian processes for calibration of computer models (with discussion). Bayesian Analysis, 17(4):1301-1350, 2022.

A. Zammit-Mangion, T. L. J. Ng, Q. Vu, and M. Filippone. Deep Compositional Spatial Models, Journal of the American Statistical Association, 117:540, 1787-1808, 2022.

B.-H. Tran, S. Rossi, D. Milios, P. Michiardi, E. V. Bonilla, and M. Filippone. Model selection for Bayesian autoencoders. In NeurIPS, 2021.