Research
Publications
Category
Research Area
Year
-
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo
International Conference on Learning Representations (ICLR 2025)
-
2024 Japanese Society for Artificial Intelligence National Conference Excellence Award: ADOPT: An Adaptive Optimization Algorithm that Converges at an Optimal Rate Independent of Hyperparameters
谷口 尚平, 原田 憲旺, 峰岸 剛基, 大島 佑太, 鄭 晟徹, 長原 豪, 飯山 燈, 鈴木 雅大, 岩澤 有祐, 松尾 豊
-
Multi-agent symbol emergence and latent representation learning by integration of Gaussian process latent variable models and neural networks
中村友昭, 鈴木雅大, 谷口彰, 谷口忠大
日本ロボット学会誌（レター）, (2024)
-
HAWK-Net: Hierarchical Attention Weighted Top-K Network for Megapixel Image Classification
Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo
IPSJ, (2023).
-
Langevin Autoencoders for Learning Deep Latent Variable Models
Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo
Advances in Neural Information Processing Systems 35 (NeurIPS 2022).
-
Information-theoretic regularization for learning global features by sequential VAE
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
Mach Learn (2021)
-
Out-of-distribution Detection Using Joint Probability between Class and Geometric Transformation
岡本弘野, 鈴木雅大, 松尾豊
情報処理学会論文誌, Vol.62, No.7, pp.1382-1392 (2021)
-
Semi-supervised Out-of-distribution Detection Using Output of Intermediate Layer in Deep Neural Networks
岡本弘野, 鈴木雅大, 松尾豊
情報処理学会論文誌, Vol.62, No.4, pp.1142-1151 (2021)
-
Semi-supervised Multimodal Learning with Deep Generative Models
鈴木雅大, 松尾豊
情報処理学会論文誌, Vol. 59, No. 12 (2018)
-
user hostile network
岩澤有祐, 矢入郁子, 松尾豊
人工知能学会論文誌, Vol. 32, No. 4, pp. A-GB5_1-12 (2017)