Research
Publications
Category
Research Area
Year
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Group Equivariant Conditional Neural Processes
Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, and Yutaka Matsuo.
International Conference on Learning Representations 2021 (ICLR2021).
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Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, and Shixiang Shane Gu.
International Conference on Learning Representations 2021 (ICLR2021).
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Variational Inference for Learning Representations of Natural Language Edits
Edison Marrese-Taylor, Machel Reid and Yutaka Matsuo.
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). February 2021.
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DORi: Discovering Object Relationships for Moment Localization of a Natural Language Query in a Video
Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li and Stephen Gould
The IEEE Winter Conference on Applications of Computer Vision (WACV). January 2021
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Pixyz: a framework for developing deep generative models
Tutorial on Deep Probabilistic Generative Models for Robotics (IROS2020)
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Pixyz: a framework for developing complex deep generative models
Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics (IROS2019)
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Attempts to “integrate” different types of information
鈴木雅大
情報処理学会誌 Vol.60 No.8
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Developing AI talent through community-based education
教育家庭新聞元旦号, 教育家庭新聞
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Active in the AI Era
ドリームナビ, 四谷大谷
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Knowledge Extraction from Wikipedia
人工知能学大事典, 共立出版