About Me

I am currently a research scientist in machine learning at Huawei Paris research center.

Previously, I was a PhD student at EURECOM and Sorbonne University, under the supervision of Prof. Maurizio Filippone.

My research interests span from the intersections of probabilistic modeling and deep learning to extremely efficient AI models.

My ambitious goal is to develop models that are more interpretable, scalable, and efficient in terms of both data and energy. I have been exploring improved priors, more efficient inference techniques for deep probabilistic models, and innovative paradigms for extremely efficient deep learning through binarization and quantization.

Contact: ba (dot) hien (dot) tran (at) huawei (dot) com ; bahientranvn (at) gmail (dot) com .

Latest News

December 22, 2023

I have joined Huawei Paris research center as a research scientist in machine learning

December 06, 2023

I have received the 1st prize of ‘Prix de thèse de l’EDITE 2023’ (Best PhD thesis award) from Sorbonne University!

November 30, 2022 U.S. (New Orleans)

I will be attending the NeurIPS conference and presenting our JMLR paper.

October 01, 2022 U.S. (California, Irvine)

I’m visiting the groups of Professors Stephan Mandt and Babak Shahbaba at UCI for three months.

March 01, 2022 Canada (Montreal)

Accepted for a contributed talk at ISBA 2022 World Meeting on ‘Functional Priors for Bayesian Deep Learning’.

September 01, 2021

Invited to serve as a reviewer for AISTATS.

September 01, 2020

I have joined EURECOM as a PhD student in Machine Learning.