Takeru Miyato

Affiliation

Ph.D. student @ Autonomous Vision Group, University of Tübingen, supervised by Andreas Geiger (UTübingen) and Max Welling (UvA). I am working for Preferred Networks, Inc. as a part-time researcher.
I worked at Google Brain (Intern), supervised by Ian Goodfellow and Andrew M. Dai. I did my Master at Integrated System Biology Labratory, Kyoto University and Bachelor in Electrical Engeneering at Kyoto University.

Selected Publications

1. Takeru Miyato, Sindy Löwe, Andreas Geiger, and Max Welling
   Artificial Kuraomoto Oscillatory Neurons
   arXiv, 2024
[code] [arXiv]
2. Takeru Miyato*, Masanori Koyama*, and Kenji Fukumizu
   Unsupervised Learning of Equivariant Structure from Sequences.
   NeurIPS, 2022.
   [code] [arXiv] [OpenReview] [poster]
3. Takeru Miyato, Shin-ichi Maeda, Masanori Koyama and Shin Ishii
   Virtual Adversarial Training : A Regularization Method for Supervised and Semi-Supervised Learning.
   IEEE TPAMI, 2019.
   [code] [code (Chainer)] [arXiv]
4. Takeru Miyato, Toshiki Kataoka, Masanori Koyama and Yuichi Yoshida
   Spectral Normalization for Generative Adversarial Networks.
   ICLR2018. (Oral)
   [code] [OpenReview]
5. Takeru Miyato, Andrew M. Dai and Ian Goodfellow
   Adversarial Training Methods for Semi-Supervised Text Classification.
   ICLR, 2017.
   [code] [arXiv] [slide] [poster] [OpenReview]

Education

• Ph.D. Computer Science – University of Tübingen, Sep. 2022 - (now)
• M.S. Informatics – Kyoto University, April 2014 - March 2016.
• B.E. Electronic Engineering – Kyoto University, April 2010 - March 2014.

Working Experiences

• Preferred Networks Inc., Tokyo, Japan, 09/2016 - (now)
• Part-time researcher. 11/2021 -
• Full-time researcher. 06/2016 - 09/2021
• Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, 06/2016 - 08/2016
• Full-time research engineer, 06/2016 - 08/2016
• Google Inc., Mountain View CA, 01/2016 - 05/2016.
• Research Intern at Google Brain, under supervision of Dr. Andrew M. Dai and Dr. Ian Goodfellow.
  

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