Ba-Hien Tran

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Maurizio FilipponeAssociate Professor - Statistics Program, KAUSTVerified email at kaust.edu.sa
Dimitrios MiliosPost Doctoral Fellow, EURECOMVerified email at eurecom.fr
Simone RossiResearch Scientist, StellantisVerified email at eurecom.fr
Pietro MichiardiEURECOMVerified email at eurecom.fr
Edwin V. BonillaPrincipal Research Scientist, CSIRO's Data61Verified email at data61.csiro.au
Andrew Zammit MangionUniversity of WollongongVerified email at uow.edu.au
Noel CressieDistinguished Professor, University of WollongongVerified email at uow.edu.au
Giulio FranzeseAssistant Professor - EurecomVerified email at eurecom.fr
Stephan MandtAssociate Professor, University of California, IrvineVerified email at uci.edu
Markus HeinonenAcademy research Fellow, Aalto UniversityVerified email at aalto.fi
Michael Christian KampffmeyerProfessor in Machine Learning, UiT the Arctic University of Norway, TromsøVerified email at post.uit.no
Van Minh NguyenHuawei TechnologiesVerified email at huawei.com

Ba-Hien Tran

Huawei Paris Research Center

Verified email at huawei.com - Homepage

Bayesian Inference Machine Learning Generative Models Deep Learning


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All you need is a good functional prior for Bayesian deep learning BH Tran, S Rossi, D Milios, M Filippone Journal of Machine Learning Research 23 (74), 1-56, 2022	74	2022
Model Selection for Bayesian Autoencoders BH Tran, S Rossi, D Milios, P Michiardi, EV Bonilla, M Filippone Advances in Neural Information Processing Systems 34, 2021	13	2021
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes BH Tran, B Shahbaba, S Mandt, M Filippone International Conference on Machine Learning, 34409--34430, 2023	5	2023
Spatial Bayesian Neural Networks A Zammit-Mangion, MD Kaminski, BH Tran, M Filippone, N Cressie Spatial Statistics, 2024	4	2024
Functional Priors for Bayesian Neural Networks through Wasserstein Distance Minimization to Gaussian Processes BH Tran, D Milios, S Rossi, M Filippone 3rd Symposium on Advances in Approximate Bayesian Inference, 2021	3	2021
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models BH Tran, G Franzese, P Michiardi, M Filippone Advances in Neural Information Processing Systems 37, 2023	2	2023
Robust Classification by Coupling Data Mollification with Label Smoothing M Heinonen, BH Tran, M Kampffmeyer, M Filippone arXiv preprint arXiv:2406.01494, 2024		2024
BOLD: Boolean Logic Deep Learning VM Nguyen, C Ocampo, A Askri, L Leconte, BH Tran Advances in Neural Information Processing Systems 38, 2024		2024
Boolean Logic for Low-Energy Deep Learning VM Nguyen, C Ocampo, A Askri, BH Tran WANT@ ICML 2024; 2nd Workshop on Advancing Neural Network Training …, 2024		2024
Advancing Bayesian Deep Learning: Sensible Priors and Accelerated Inference BH Tran Sorbonne Université, 2023		2023
Improving Training of Likelihood-based Generative Models with Gaussian Homotopy BH Tran, G Franzese, P Michiardi, M Filippone SPIGM 2023, 1st Workshop on Structured Probabilistic Inference & Generative …, 2023		2023
Model Selection for Bayesian Autoencoders: Supplementary Material BH Tran, S Rossi, D Milios, P Michiardi, EV Bonilla, M Filippone

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