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Hello, I'm Yusuke Tsuzuku (都竹雄介).
I studied machine learning and computer science at the University of Tokyo. Currently, I'm a master's student at UTokyo and also a part-time researcher at RIKEN. General interests: Noise stability of neural nets, Generalization of deep learning, Large scale optimization, Computer architecture

Education

The University of Tokyo
The University of Tokyo
M.S. in Computer Science, Apr. 2018-present

My research area is machine learning, especially concerning fundamental theory and understanding of deep learning.

The University of Tokyo
The University of Tokyo
B.S. in Information Science, Apr. 2014-Mar. 2018

I received learning award, which elects only one student from the Information Science department.

Work Experiences

RIKEN Center for Advanced Intelligence Project
RIKEN Center for Advanced Intelligence Project
Part-time researcher, Sep. 2019-present

Research Institute for Computational Science Co. Ltd.
Research Institute for Computational Science Co. Ltd.
Intern, Aug. 2019-Aug. 2019

RIKEN Center for Advanced Intelligence Project
RIKEN Center for Advanced Intelligence Project
Part-time researcher, Mar. 2018-Apr. 2019

Google Inc. (TOK, search)
Google Inc. (TOK, search)
Intern, Nov. 2018-Feb. 2019

Preferred Networks, Inc.
Preferred Networks, Inc.
Part-time engineer, Mar. 2018-Aug. 2018

Preferred Networks, Inc.
Preferred Networks, Inc.
Intern + Part-time engineer, Aug. 2017-Oct. 2017

Teaching Experiences

The University of Tokyo
The University of Tokyo
Teaching Assistant, Apr. 2019-May. 2019

The University of Tokyo
The University of Tokyo
Teaching Assistant, Apr. 2018-Jul. 2018

Others

Montreal Institute for Learning Algorithms
Montreal Institute for Learning Algorithms
Intern, Sep. 2018-Oct. 2018

Talks

FIT 2019, invited talk Oct. 2019
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks

MIRU 2019, invited talk Aug. 2019
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions

RIKEN, invited talk Jul. 2019
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions

CVPR 2019, main conference oral Jul. 2019
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions

Honors

Representative of Freshmen, Graduate School of The University of Tokyo (1/4415)
Representative of Freshmen, Graduate School of The University of Tokyo (1/4415)
Apr. 2018

Learning Award, Faculty of Science, The University of Tokyo (1/Dept. of Information Science)
Learning Award, Faculty of Science, The University of Tokyo (1/Dept. of Information Science)
Mar. 2018

Certificates

Security Specialist, IPA 2016

Applied Information Technology Engineer, IPA 2015

Karate 1st dan

Kawai Piano 7th grade

Scholarships

Toyota/Dowange AI Scholarship 2019

Toyota/Dowange AI Scholarship 2018

Competitive Programming

ICFPC 2018, 7th 2018

CodeFestival 2017, proceeded to the final 2017

DDCC 2017, proceeded to the final 2017

CodeFestival 2016, proceeded to the final 2016

DDCC 2016, proceeded to the final 2016

Awards

IBIS 2018, Student Presentation Award 2018

Competition 4 at 2nd Science Koshien National Convention, 1st prize 2013

2nd Science Koshien National Convention, 9th prize 2013

Math Koshien National Convention, proceeded to semi final 2012

Nippon Junior High School Physical Culture Associate Table Tennis Individual, 15th prize 2010

Kawai Piano Competition Gifu Prefectural Tournament, 1st prize 2009, 2006

Kawai Piano Competition Chubu District Convention, Effort Award 2006

Selected Publications

Yusuke Tsuzuku, Issei Sato, Masashi Sugiyama. "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks." (NeurIPS 2018) 2018

Yusuke Tsuzuku, Issei Sato. "On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions." (CVPR 2019) 2019