Research

Publications

Category

Research Area

Year

2025

International Conferences

強化学習理論

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

Awards

AI一般理論

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
2024

Journals

Representation Learning 理論生成モデル

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)
2023

Journals

computer-vision Representation Learning 理論

HAWK-Net: Hierarchical Attention Weighted Top-K Network for Megapixel Image Classification

Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo

IPSJ, (2023).
2022

International Conferences

Generative Model Theory 理論生成モデル

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).
2021

Journals

Representation Learning 理論
Information-theoretic regularization for learning global features by sequential VAE
- https://s3.ap-northeast-1.amazonaws.com/publication.weblab/2021_Kei+Akuzawa_ECML+Journal+Track_Information-theoretic+regularization+for+learning+global+features+by+sequential+VAE.pdf
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

Mach Learn (2021)
2021

Journals

Representation Learning 理論
Out-of-distribution Detection Using Joint Probability between Class and Geometric Transformation
- https://s3.ap-northeast-1.amazonaws.com/publication.weblab/2021_%E5%B2%A1%E6%9C%AC%E5%BC%98%E9%87%8E_%E6%83%85%E5%A0%B1%E5%87%A6%E7%90%86%E5%AD%A6%E4%BC%9A%E8%AB%96%E6%96%87%E8%AA%8C_%E6%B7%B1%E5%B1%A4%E3%83%8B%E3%83%A5%E3%83%BC%E3%83%A9%E3%83%AB%E3%83%8D%E3%83%83%E3%83%88%E3%83%AF%E3%83%BC%E3%82%AF%E3%81%AB%E3%82%88%E3%82%8B%E3%82%AF%E3%83%A9%E3%82%B9%E3%81%A8%E5%B9%BE%E4%BD%95%E5%A4%89%E6%8F%9B%E3%81%AE%E5%90%8C%E6%99%82%E5%88%86%E9%A1%9E%E7%A2%BA%E7%8E%87%E3%82%92%E5%88%A9%E7%94%A8%E3%81%97%E3%81%9F%E5%88%86%E5%B8%83%E5%A4%96%E6%A4%9C%E7%9F%A5.pdf
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)
2021

Journals

Representation Learning 理論
Semi-supervised Out-of-distribution Detection Using Output of Intermediate Layer in Deep Neural Networks
- https://s3.ap-northeast-1.amazonaws.com/publication.weblab/2020_%E5%B2%A1%E6%9C%AC%E5%BC%98%E9%87%8E_%E6%83%85%E5%A0%B1%E5%87%A6%E7%90%86%E5%AD%A6%E4%BC%9A%E8%AB%96%E6%96%87%E8%AA%8C_%E6%B7%B1%E5%B1%A4%E3%83%8B%E3%83%A5%E3%83%BC%E3%83%A9%E3%83%AB%E3%83%8D%E3%83%83%E3%83%88%E3%83%AF%E3%83%BC%E3%82%AF%E3%81%AE%E4%B8%AD%E9%96%93%E5%B1%A4%E5%87%BA%E5%8A%9B%E3%82%92%E5%88%A9%E7%94%A8%E3%81%97%E3%81%9F%E5%8D%8A%E6%95%99%E5%B8%AB%E3%81%82%E3%82%8A%E5%88%86%E5%B8%83%E5%A4%96%E6%A4%9C%E7%9F%A5.pdf
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)
2018

Journals

Representation Learning 理論生成モデル
Semi-supervised Multimodal Learning with Deep Generative Models
- https://s3.ap-northeast-1.amazonaws.com/publication.weblab/2018_%E9%88%B4%E6%9C%A8%E9%9B%85%E5%A4%A7_%E6%83%85%E5%A0%B1%E5%87%A6%E7%90%86%E5%AD%A6%E4%BC%9A%E8%AB%96%E6%96%87%E8%AA%8C_%E6%B7%B1%E5%B1%A4%E7%94%9F%E6%88%90%E3%83%A2%E3%83%87%E3%83%AB%E3%82%92%E7%94%A8%E3%81%84%E3%81%9F%E5%8D%8A%E6%95%99%E5%B8%AB%E3%81%82%E3%82%8A%E3%83%9E%E3%83%AB%E3%83%81%E3%83%A2%E3%83%BC%E3%83%80%E3%83%AB%E5%AD%A6%E7%BF%92.pdf
鈴木雅大, 松尾豊

情報処理学会論文誌, Vol. 59, No. 12 (2018)
2017

Journals

Representation Learning 理論
user hostile network
- https://s3.ap-northeast-1.amazonaws.com/publication.weblab/2017_%E5%B2%A9%E6%BE%A4%E6%9C%89%E7%A5%90_%E4%BA%BA%E5%B7%A5%E7%9F%A5%E8%83%BD%E5%AD%A6%E4%BC%9A%E8%AB%96%E6%96%87%E8%AA%8C_%E3%83%A6%E3%83%BC%E3%82%B6%E6%95%B5%E5%AF%BE%E7%9A%84%E3%83%8D%E3%83%83%E3%83%88%E3%83%AF%E3%83%BC%E3%82%AF.pdf
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)