Toshimitsu Aritake

Research Center for Statistical Machine Learning Project Assistant Professor

Research Organization of Information and Systems, The Institute of Statistical Mathematics

Biography

Toshimitsu Aritake received his bachelor’s degree and master’s degree in engineering in 2008 from Waseda University, Japan. He joined Hitachi Ltd., central research laboratory and worked as a research staff from April 2014 to August 2017. He earned doctor’s degree in engineering in 2021 from Waseda University. From April 2021, he is a project assistant professor at the Institue of Statistical Mathematics (ISM). He is a member of IEEE.

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Interests

Sparse modeling
Neural Networks, Deep Neural Networks
Optimal Transport
Domain Adaptation
Time Series Analysis

Education

Doctor of Engineering, 2021
Waseda University Graduate School of Advanced Science and Engineering, Department of Electrical Engineering and Bioscience
Master of Engineering, 2014
Waseda University Graduate School of Advanced Science and Engineering, Department of Electrical Engineering and Bioscience
Bachelor of Engineering, 2012
Waseda University School of Advanced Science and Engineering, Department of Electrical Engineering and Bioscience

Skills

Python

90% (numpy, scikit-learn, pytorch)

10%

Statistics

basic statistics, timeseries analysis, point process

Machine Learning

sparse modeling, neural network, domain adaptation

Vitae

Lecturer

Rikkyo University Graduate School of Artificial Intelligence and Science

Apr 2022 – Present

Project Assistant Professor

The Institute of Statistical Mathematics, Research Center for Statistical Machine Learning

Apr 2021 – Present

Technical Assitant

The Institute of Statistical Mathematics, Department of Statistical Modeling

Jul 2018 – Mar 2021

Teaching Assitant for Experiments

Waseda University School of Advanced Science and Engineering

Sep 2018 – Aug 2019

Research Engineer

Hitachi Europe Ltd. (temporary transfer)

Oct 2015 – Aug 2017

Research Staff

Hitachi Ltd.

Apr 2014 – Aug 2017

Publications

Publication list can be found here

Toshimitsu Aritake, Hideitsu Hino (2022). Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. In Neural Computation.

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Toshimitsu Aritake, Hideitsu Hino (2022). Domain Adaptation with Optimal Transport for Extended Variable Space. IJCNN2022.

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Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata (2022). Detecting cell assemblies by NMF-based clustering from calcium imaging data. Neural Networks.

DOI

有竹俊光, 日野英逸 (2022). 変数の拡張に対する最適輸送を用いたドメイン適応. 情報論的学習理論と機械学習研究会 (IBISML).

Slides Source Document

Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata (2021). Fast and robust multiplane single-molecule localization microscopy using a deep neural network. Neurocomputing.

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Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata (2020). Single-molecule localization by voxel-wise regression using convolutional neural network. Results in Optics.

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有竹俊光, 日野英逸, 並木繁行, 浅沼大祐, 廣瀬謙造, 村田昇 (2020). 深層ニューラルネットワークを用いた多焦点顕微鏡のリアルタイム3次元局在化. 情報論的学習理論と機械学習研究会 (IBISML).

Slides Source Document

Toshimitsu Aritake, Noboru Murata (2020). Learning Scale and Shift-Invariant Dictionary for Sparse Representation. LOD2019.

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Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata (2019). Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. Artificial Neural Networks and Machine Learning–ICANN 2019.

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