Tomoshi Iiyama
2020 – 2023 Toyohashi University of Technology
2023 – present The University of Tokyo
Reinforcement Learning / World Models
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博士3年
博士1年
修士2年
修士2年
修士1年
修士1年
学部4年
Reinforcement Learning / World Models
生成モデル,マルチモーダル,動画生成,時空間理解
– LLM/因果推論
プロフィール
プロフィール
2010 – 2011 University of Cambridge, Selwyn College, Computer Science
2011 – 2012 New Oriental Education&Technology Group Inc, Associate Consultant
2013 – 2018 東京工業大学 工学部
2018 – 株式会社FLUX 取締役CTO
2019 – 日本CTO協会 会員
2021 – World Wide Web Consortium AC Representative
2022.10 – 東京大学工学系研究科 TMI
– モデルマージ、深層生成モデル、マルチモーダル、Computer Vision、Representation Learning
深層学習を用いた時系列情報の分析・生成
– Graph
– Optimization
強化学習の理論と応用
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2019 – 2023 The University of Tokyo, BA, Engineering
2023 – Present The University of Tokyo, MA, Engineering
深層学習を用い、画像処理と自然言語処理の研究
知識グラフ学習、マルチモーダル学習などの研究
Reinforcement Learning, Empowerment, Offline Reinforcement Learning
深層生成モデル, 強化学習
Deep learning based computer vision
大規模言語モデル
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Apr 2020 – Mar 2024: Bachelor of Engineering, The University of Tokyo (Mathematical Engineering)
(Sep 2022 – Dec 2022: Exchange Student at Department of Operations Research and Financial Engineering, Princeton University)
Apr 2024 – present: Master of Engineering, the University of Tokyo (Technology Management for Innovation)
Research interests: large language models, time series analysis (including finance, audio data, etc.), statistical learning theory
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2022.04 The University of Tokyo, Master of Information & Communication Engineering.
2024.04 The University of Tokyo, Ph.D candidate of TMI
Large Language Model, Natural Language Processing
Reinforcement Learning
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Reinforcement Learning
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March 2022: Graduated from School of Life Science and Technology, Department of Life Science and Technology, Tokyo Institute of Technology.
March 2024: Completed Master’s degree in Precision Engineering, Graduate School of Engineering, the University of Tokyo.
April 2024: Entered the PhD program in Technology Management for Innovation, Graduate School of Engineering, the University of Tokyo.
Research Interests: Reinforcement Learning, Multi Agent, World Model, Diffusion Model, and Neural Network Architectures.
– 深層生成モデル/深層生成モデル
– 深層生成モデル
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-大規模言語モデル/強化学習
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Profile
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