News (All)

1 Jul 2021

Our work on invertible neural networks has been featured in the PR magazine RIKEN!

13 May 2021

Our paper "Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation" has been accepted at UAI 2021!

8 May 2021

Our paper "Non-negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation" has been accepted at ICML 2021!

22 Mar 2021

Thrilled to join Peloria Insights until the end of May as a data scientist (individual contractor)!

17 Mar 2021

I have been awarded the Ohbu Award 2020 (Research Incentive Award) from RIKEN!

02 Mar 2021

Posted a new preprint: "Incorporating causal graphical prior knowledge into predictive modeling via simple data augmentation"!

04 Mar 2021

I will give an invited talk at the organized session 『異なるタスクを活用する機械学習:転移学習,メタ学習』 at IBISML from 14:40 until 15:20.

03 Mar 2021

I will give an invited talk at Workshop on Functional Inference and Machine Intelligence (FIMI) from 11:20 until 12:20 (with Prof. Ishikawa from Ehime University).

23 Jan 2021

Our paper "γ-ABC: Outlier-Robust Approximate Bayesian Computation based on A Robust Divergence Estimator" has been accepted at AISTATS 2021!

08 Jan 2021

We have been awarded IBIS 2020 Outstanding Presentation Award!

17 Dec 2020

Our work has been mentioned in Nikkei XTech online news articles here (Dec 17) and here (Dec 25).

23 Nov 2020

Attending the 31st JASID Annual Conference (domestic conference on international development) to report our collaborative work at the PeaceTech working group with Ayaka Oishi from Peloria Insights. We are reporting our attempt to predict the destination of internally displaced persons (IDPs) using machine learning.

23 Nov 2020

Attending IBIS 2020 (online domestic conference)! Our talk will be in Session 3-4 (Nov 26th 15:30-17:30)!

11 Dec 2020

Happy to present our work "Universal Approximation Property of Neural Ordinary Differential Equations" at NeurIPS2020 Workshop: Differential Geometry meets Deep Learning (DiffGeo4DL)

07 Nov 2020

Successfully completed Omdena Save the Children project! Join one of Omdena´s upcoming projects:

22 Oct 2020

Excited to host a talk event: Transfer Learning between Largely Different Distributions. Register here!→Finished with a huge success! Thank you for joining us :) Recording is now available here.

21 Oct 2020

Honored to be recognized as a top 10% reviewer for NeurIPS 2020!

26 Aug 2020

Our paper "Coupling-based invertible neural networks are universal diffeomorphism approximators" has been accepted at NeurIPS 2020 for oral presentation! (105 orals among the 1900 accepted papers; paper acceptance rate 20.1%).

20 Aug 2020

Thrilled to take part in the Omdena SaveTheChildren project (8 weeks).

6 Sep 2020

Giving a talk at Math-iine Learning study group.

17 Jul 2020

Presented our work at ICML 2020 and had interesting discussions!

8 Jul 2020

Promoted to a regular member of Masason Foundation! And today is my birthday!

23 Jun 2020

Posted a new preprint: "Coupling-based invertible neural networks are universal diffeomorphism approximators"!

19 Jun 2020

Excited to participate in MLSS 2020 (28 June - 10 July)!

19 Jun 2020

Giving a talk at a study group on causal machine learning on 22 July!

15 Jun 2020

Posted two new preprints: "Non-negative Bregman divergence minimization for deep direct density ratio estimation" and "γ-ABC: Outlier-robust approximate bayesian computation based on robust divergence estimator"!

1 Jun 2020

Our paper "Few-shot domain adaptation by causal mechanism transfer" has been accepted to ICML 2020!