Tam Le (Preferred)
Tam Le
The Institute of Statistical Mathematics (ISM)
Names
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Emails
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****@iip.ist.i.kyoto-u.ac.jp
, ****@riken.jp
, ****@gmail.com
, ****@ism.ac.jp
, ****@ism.ac.jp
Personal Links
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Education & Career History
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Assistant Professor
The Institute of Statistical Mathematics (ISM) (ism.ac.jp)
2022 – Present
Research Scientist
RIKEN AIP (riken.jp)
2021 – 2022
Postdoc
RIKEN AIP (riken.jp)
2017 – 2021
Postdoc
Nagoya Institute of Technology (nitech.ac.jp)
2016 – 2017
Advisors, Relations & Conflicts
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PhD Advisor
Marco Cuturi
****@google.com
2012 – 2015
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Sobolev transport (i.e., OT on graph structure)
2021 – Present
Tree-Wasserstein (i.e., OT on tree structure)
2018 – Present
Kernel methods
2017 – Present
Topological data analysis (TDA)
2017 – Present
Optimal Transport (OT)
2015 – Present
Riemannian manifold
2012 – Present
Geometric machine learning
2012 – Present