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Takeshi D. Itoh, Koji Ishihara, Jun Morimoto
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment
Neural Computation 34, no.2 (2022): 360-377
2022.01.14
reviewed
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Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities
Neural Networks 145 (2022): 356-373
2021.11.10
reviewed
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Takeshi D. Itoh*, Takaaki Horinouchi*, Hiroki Ueda, Koichi Takahashi, Haruka Ozaki*
Optimal Scheduling for Laboratory Automation of Life Science Experiments with Time Constraints
SLAS Technology 26, no. 6 (2021): 650-659
2021.06.25
reviewed, * equally contributed
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Takeshi D. Itoh, Ryuji Takeya, Masaki Tanaka
Spatial and Temporal Adaptation of Predictive Saccades Based on Motion Inference
Scientific Reports 10, 5280 (2020): 1-11
2020.03.24
reviewed
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Koji Ishihara, Takeshi D. Itoh, Jun Morimoto
Full-Body Optimal Control Toward Versatile and Agile Behaviors in a Humanoid Robot
IEEE Robotics and Automation Letters 5, no. 1 (2020): 119-126
2019.10.11
reviewed, RA-L option for The 2019 IEEE-RAS International Conference on Humanoid Robots
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Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
Towards generation of visual attention map for source code
33rd Conference on Neural Information Processing Systems (NeurIPS 2019) Workshop of Context and Compositionality in Biological and Artificial Neural Systems
2019.12.14, Vancouver, Canada
poster, reviewed, non-archival re-presentation of the manuscript for APSIPA ASC 2019
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Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
Towards generation of visual attention map for source code
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2019
2019.11.20, Lanzhou, China
oral, reviewed
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Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
A visual attention map for gaze behavior analysis in source code comprehension
Asia-Pacific Signal and Information Processing Association Biomedical Signal Processing and Systems (APSIPA BioSiPS) Workshop 2019
2019.08.29, Luzon Island, Philippines
poster, not reviewed
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Takeshi Itoh, Jumpei Ukita, Ayaka Kato, Takaaki Kaneko, Masahiro Suzuki, Yusuke Iwasawa
Modeling the development of place cells in hippocampus
Biologically Inspired Cognitive Architectures (BICA) 2015 Workshop of Whole Braine Architecture Initiative (WBAI)
2015.11.07, Lyon, France
oral, not reviewed, invited
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山田涼太*, 伊藤健史*
ロボット実験にふさわしい実験プロトコルのありかた
Laboratory Automation Developers Conference (LADEC) 2020
2020.10.03 Online
oral, not reviewed, invited, * equally contributed pair-talk
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Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yoshiharu Ikutani, Yuki Maruno, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
Contrasting Human and Machine Intelligence for Program Comprehension
20th Winter Workshop on Mechanism of Brain and Mind
2020.01.08, Rusutsu
poster, not reviewed
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Kiyoka Ikeda, Takatomi Kubo, Yoshiharu Ikutani, Hideaki Hata, Nishanth Koganti, Takeshi Itoh, Kenichi Matsumoto, Yuki Maruno, Kazushi Ikeda
Gaze behavior analysis in source code comprehension through comparison with attention models
Workshop of the Technical Committee on Neurocomputing (NC)
2019.06.17, Okinawa
oral, not reviewed
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Takeshi Itoh, Masaki Tanaka
Spatiotemporal recalibration of inferred motion in monkeys
The Joint Meeting of the 120th Annual Meeting of the Japanese Association of Anatomists and the 92nd Annual Meeting of the Physiological Society of Japan
2015.03.21, Kobe
poster, not reviewed
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伊藤健史, 田中真樹
眼球運動における時空間予測の学習
The 8th Annual Meeting of the Japanese Society for Motor Control
2014.08.08, Tsukuba
poster, not reviewed
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Takeshi D. Itoh
Compositionality-Aware Graph Representation Learning
Doctoral Dissertation, Nara Institution of Science and Technology
Thesis Committee: Kazushi Ikeda (Supervisor), Kenichi Matsumoto (Co-Supervisor), Junichiro Yoshimoto (Co-Supervisor), Takatomi Kubo (Co-Supervisor), Makoto Fukuhima (Co-Supervisor) Chie Hieida (Co-Supervisor), Hayaru Shouno (Co-Supervisor)
2022.03.15
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Takeshi Itoh
High Frequency Model Predictive Controlwith Structured Neural Network Dynamics
Master's Thesis, Nara Institution of Science and Technology
Thesis Committee: Kazushi Ikeda (Supervisor), Tsukasa Ogasawara (Co-Supervisor), Mitsuo Kawato (Co-Supervisor), Jun Morimoto (Co-Supervisor), Nishanth Koganti (Co-Supervisor)
2019.03.15
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2022.04 ~ present
Professional Services Consultant
Amazon Web Services Japan G.K.
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2020.10 ~ 2021.10
Digital transformation consultant
Dell Technologies Japan Inc.
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2019.06 ~ 2022.03
Part-time software engineer
Anchorage Works, Inc.
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2019.04 ~ 2022.03
Research assistant
Nara Institute of Science and Technology
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2019.04 ~ 2022.03
Research fellowship for young scientists, DC1
Japan Society for the Promotion of Science (JSPS)
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2017.08 ~ 2018.09
Summer intern, Part-time engineer
Preferred Networks, Inc.
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2016.01 ~ 2019.05
Part-time software engineer
Robotic Biology Institute Inc.