
Research
Publications
Category
Research Area
Year
-
Interaction-Based Disentanglement of Entities for Object-Centric World Models
Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo.
“InteractioInternational Conference on Learning Representations (ICLR2023)
-
Universal Approximation with Neural Networks on Function Spaces
Wataru Kumagai, Akiyoshi Sannai, Makoto Kawano
Journal of Experimental & Theoretical Artificial Intelligence.(2022)
-
Scene Interpretation Method using Transformer and Self-Supervised Learning
小林 由弥 鈴木 雅大 松尾 豊
第37巻2号 J-STAGE, (2022)
-
Generalized Decision Transformer for Offline Hindsight Infomation Matching
Hiroki Furuta, Yutaka Matsuo, and Shixiang Shane Gu
International Conference on Learning Representations 2022 (ICLR2022, Spotlight).
-
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following
Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
Workshop on Novel Ideas in Learning-to-Learn through Interaction, EMNLP 2021.
-
Pixyz: a framework for developing deep generative models
Tutorial on Deep Probabilistic Generative Models for Robotics (IROS2020)
-
JSAI2018 Excellence Award: “Improving Robustness to Long Action Sequences by Partitioning into Subtasks and Predicting Abstracted Actions in Instruction Following.”
篠田 一聡,竹澤 祐貴,鈴木 雅大,岩澤 有祐,松尾 豊
-
Pixyz: a framework for developing complex deep generative models
Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics (IROS2019)
-
JSAI2019 Student Incentive Award: “Generative Query Networks as Meta-Learning”
谷口尚平, 岩澤有祐, 松尾豊(受賞者:谷口尚平)