We are focusing on developing machine learning algorithm for science including feature selection, topological data analysis, graph neural network, optimal transport and transfer learning.
We have two goals:
Our paper about AML treatment has been published at Nature Cancer!23. January 2021
Tam's papers about tree Wasserstein have been accepted by AISTATS 2021! Congrats!23. December 2020
Ryoma's Random feature paper has been accepted by SDM 2021! Congrats!12. October 2020
Lunched New website!26. September 2020
Two papers has been accepted to NeurIPS 2020.