| Jan 1, 2024 |
Happy New Year!
I extend my heartfelt sympathies to all those affected by the Noto Peninsula earthquake in Reiwa 6.
I sincerely hope that the damage remains minimal.
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| Nov 4, 2023 |
I’ve transitioned to the new version of the website.
The previous domain is still available and will now redirect to the new one: takeshi-teshima.info.
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| Oct 29, 2023 |
I will be at the IBIS 2023 conference offline! See you in Fukuoka, Japan!
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| Mar 4, 2023 |
I’ll be honored to give a talk at JSS2023Spring on causal mechanism transfer. Our session will be PM-A (14:05～15:45 @ 1F Room 120 and Zoom A).
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| Jan 20, 2023 |
I have received the certificate of “NIPPON COCORO ACTION” Certified Supporter.
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| Nov 28, 2022 |
I’ll be at the ICDM conference to be held in Orlando, FL, USA!
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| Nov 19, 2022 |
I will be taking part in a research mentoring session at IBIS2022!
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| Oct 1, 2022 |
Our book chapter “Rethinking Importance Weighting for Transfer Learning” has been published as part of Federated and Transfer Learning!
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| Aug 25, 2022 |
Our paper “Universal Approximation Property of Invertible Neural Networks” has been accepted for publication in the Journal of Machine Learning Research (JMLR)!
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| Apr 1, 2022 |
Joined Recruit Co., Ltd. as a Data Scientist!
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| Mar 24, 2022 |
Received Ph.D. in Science from the University of Tokyo!
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| Mar 8, 2022 |
Our collaboration work (led by Masahiro Fujisawa) has been awarded IBIS 2021 Outstanding Presentation Award!
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| Jan 13, 2022 |
Organizing a special session at StatsML Sypmposium’21 (Feb. 9-11 JST). I’m also running a count-down article event. Please join us!
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| Nov 12, 2021 |
Presenting our work at IBIS 2021! On causal-graph data augmentation (No.66) on 12th Nov, and our collaborative work on 10th Nov (No.4) and 11th Nov (No.78).
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| Oct 22, 2021 |
Released a Python package for Echelon Analysis, echelon-py!
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| Jul 1, 2021 |
Our work on invertible neural networks has been featured in the PR magazine RIKEN!
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| May 13, 2021 |
Our paper “Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation” has been accepted at UAI 2021!
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| May 8, 2021 |
Our paper “Non-negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation” has been accepted at ICML 2021!
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| Mar 22, 2021 |
Thrilled to join Peloria Insights until the end of May as a data scientist (individual contractor)!
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| Mar 17, 2021 |
I have been awarded the Ohbu Award 2020 (Research Incentive Award) from RIKEN!
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| Mar 4, 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).
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| Mar 3, 2021 |
Our paper “γ-ABC: Outlier-Robust Approximate Bayesian Computation based on A Robust Divergence Estimator” has been accepted at AISTATS 2021!
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| Mar 2, 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.
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| Jan 23, 2021 |
We have been awarded IBIS 2020 Outstanding Presentation Award!
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| Jan 8, 2021 |
Our work has been mentioned in Nikkei XTech online news articles here (Dec 17) and here (Dec 25).
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| Dec 17, 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.
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| Dec 11, 2020 |
Happy to present our work “Universal Approximation Property of Neural Ordinary Differential Equations” at NeurIPS2020 Workshop: Differential Geometry meets Deep Learning (DiffGeo4DL)
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| Nov 23, 2020 |
Attending IBIS 2020 (online domestic conference)! Our talk will be in Session 3-4 (Nov 26th 15:30-17:30)!
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| Nov 7, 2020 |
Successfully completed Omdena Save the Children project! Join one of Omdena´s upcoming projects: www.omdena.com/projects.
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| Oct 22, 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.
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| Oct 21, 2020 |
Honored to be recognized as a top 10% reviewer for NeurIPS 2020!
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| Sep 6, 2020 |
Giving a talk at Math-iine Learning study group.
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| Aug 26, 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%).
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| Aug 20, 2020 |
Thrilled to take part in the Omdena SaveTheChildren project (8 weeks).
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| Jul 17, 2020 |
Presented our work at ICML 2020 and had interesting discussions!
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| Jul 8, 2020 |
Promoted to a regular member of Masason Foundation! And today is my birthday!
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| Jun 23, 2020 |
Posted a new preprint: “Coupling-based invertible neural networks are universal diffeomorphism approximators”!
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| Jun 19, 2020 |
Excited to participate in MLSS 2020 (28 June - 10 July)!
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| Jun 19, 2020 |
Giving a talk at a study group on causal machine learning on 22 July!
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| Jun 15, 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”!
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| Jun 1, 2020 |
Our paper “Few-shot domain adaptation by causal mechanism transfer” has been accepted to ICML 2020!
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