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:
Three papers has been accepted to AISTATS 2022! Congrats Yuki, Ryoma, Benjamin, Peter, Hector, and Tam!
29. September 2021Two papers has been accepted to NeurIPS 2021! Congrats Tam and Hiroaki!
25. July 2021One paper about optimal transport has been accepted to ICCV 2021! Congrats Tam!
19. June 2021One paper about optimal transport has been accepted to ECML 2021! Congrats Yanbin, Hubert, and Tam!
9. May 2021Three papers have been accepted to ICML 2021! Congrats Yuki, Ryoma, Tobias, Hector, Benjamin, Tam!
1. May 2021Peter Naylor has joined our lab! Welcome!
19. March 2021Our paper about AML treatment has been published at Nature Cancer!
23. January 2021Tam's papers about tree Wasserstein have been accepted by AISTATS 2021! Congrats!
23. December 2020Ryoma's Random feature paper has been accepted by SDM 2021! Congrats!