Tam Le (Assistant Professor @ISM)
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(a.k.a. Lê Thanh Tâm) |
Research interests: Optimal transport, tree-Wasserstein, Sobolev transport, geometric machine learning, Riemannian manifold, topological data analysis, kernel methods, robustness approach.
Contact
10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan
Email: tam[at]ism.ac.jp (or lttam.vn[at]gmail.com)
Room: A506B. Access to ISM
My CV is here - Updated August, 2023.
News
24-Aug-2023, I will serve as Area Chair for AISTATS’24 and ICLR’24.
20-Apr-2023, Our paper, entitled “Dynamic Flows on Curved Space Generated by Labeled Data” has been accepted to IJCAI’23! This is joint work with Xinru Hua, Truyen Nguyen, Jose Blanchet, and Viet Anh Nguyen.
01-Apr-2023, Our proposal has been accepted by the Grants-in-Aid for Scientific Research (C) as PI (04/2023 - 03/2026).
21-Jan-2023, Our paper, entitled “Scalable Unbalanced Sobolev Transport for Measures on a Graph” has been accepted to AISTATS’23! This is joint work with Kenji Fukumizu, and Truyen Nguyen.
01-Dec-2022, I am officially appointed as a visiting scientist at Functional Analytic Learning Unit, RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
01-Sep-2022, I officially join in The Institute of Statistical Mathematics (ISM) as Assistant Professor. I am also an Assistant Professor at The Graduate School for Advanced Studies (SOKENDAI).
26-Jul-2022, I give an invited talk at Kyoto Machine Learning workshop.
27-May-2022, I give an invited talk at Asia Pacific Seminar on Applied Topology and Geometry (APATG). [SLIDE]
01-Mar-2022, I give an invited talk at the AAAI workshop (OT-SDM: International Workshop on Optimal Transport and Structured Data Modeling). [SLIDE]
Research Support
Grants
04/2023 - 03/2026, JSPS KAKENHI Grant number 23K11243, Grants-in-Aid for Scientific Research (C) as PI (4.8M JPY).
04/2020 - 03/2023, JSPS KAKENHI Grant number 20K19873, Grants-in-Aid for Young Scientists as PI (4.2M JPY).
04/2017 - 03/2020, JSPS KAKENHI Grant number 17K12745, Grants-in-Aid for Young Scientists (B) as PI (4.1M JPY).
Others
06/2022 - 03/2027, a collaborator in Data Science group led by Professor Kenji Fukumizu (ISM), JSPS - Grant-in-Aid for Transformative Research Areas (A).
04/2023 - 03/2024, a collaborator in a group led by Professor Hideitsu Hino (ISM), Mitsui Information Co., Ltd grant.
04/2023 - 03/2024, ISM Joint-research 2023-ISMCRP-2010 as PI.
Education
10/2012 - 09/2015, PhD program, Graduate school of Informatics, Kyoto University, Japan.
Supervisors: Professor Marco Cuturi, Professor Akihiro Yamamoto.
I completed my PhD program in September, 2015 and officially received my PhD degree in January, 2016.
Research Experience
09/2022 - present, Assistant Professor, Department of Statistical Inference and Mathematics, The Institute of Statistical Mathematics (ISM).
12/2022 - present, Visiting Scientist, Functional Analytic Learning Team, RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
03/2023 - present, Assistant Professor, Research Center for Statistical Machine Learning, The Institute of Statistical Mathematics (ISM).
09/2022 - present, Assistant Professor, The Graduate School for Advanced Studies (SOKENDAI).
08/2021 - 08/2022, Research Scientist, RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
Mentor: Professor Makoto Yamada
This position requires at least 5-year research experience after Ph.D.
09/2017 - 07/2021, Postdoctoral Researcher, RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
Mentor: Professor Makoto Yamada
02/2016 - 08/2017, Postdoctoral Researcher, Nagoya Institute of Technology & National Institute for Materials Science, Japan.
Mentor: Professor Ichiro Takeuchi.
01/2016, Associate Researcher, Nagoya Institute of Technology, Japan.
Mentor: Professor Ichiro Takeuchi.
10/2015 - 12/2015, Associate Researcher, Kyoto University, Japan.
Mentors: Professor Akihiro Yamamoto, Professor Marco Cuturi.