Tam Le - Publications

(*: equal contribution)

Selected Journals / Conference papers


Other Journals / Conference papers / Preprints


Workshop Posters / Talks

Workshop Posters

Invited Talks

  • 2022, Sobolev Transport: A Scalable Metric for Probability Measures on Graphs, Kyoto Machine Learning workshop, Kyoto University, Japan (hybrid).

  • 2022, Geometric Approaches for Persistence Diagrams in Topological Data Analysis, Asia Pacific Seminar on Applied Topology and Geometry (APATG), Virtual. [SLIDE]

  • 2022, On Scalability of Optimal Transport with Tree/Graph metric, AAAI workshop (OT-SDM: International Workshop on Optimal Transport and Structured Data Modeling), Virtual. [SLIDE]

  • 2021, Adversarial Regression with Doubly Non-negative Weighting Matrices, VinAI workshop, Virtual. [SLIDE]

  • 2021, An Introduction on Tree-(Sliced)-Wasserstein Geometry, RIKEN AIP Open Seminar Series, Virtual. [SLIDE]

  • 2019, Kernel methods for Persistence Diagrams: A Geometric Approach, Institute for Advanced Study, Kyoto University, Japan. [SLIDE]

  • 2016, Geometry-Aware Metric Learning for Histograms, MI2I Open Seminar Series, National Institute for Materials Science, Tsukuba, Japan. [SLIDE]

  • 2015, Metric Learning for Histograms, Nagoya Institute of Technology, Japan.

  • 2015, Unsupervised Riemannian Metric Learning for Histograms, Bioinformatics Center, Institute for Chemical Research, Kyoto University, Japan.

  • 2015, Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Embeddings, IST Seminar, Graduate School of Informatics, Kyoto University, Japan. [SLIDE]

  • 2014, Adaptive Euclidean Maps for Histograms: Generalized Aitchison Embeddings, Lear, INRIA Rhone Alpes, Grenoble, France. [SLIDE]