Research
研究
研究業績
カテゴリー
研究領域
年
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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)
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Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo
International Conference on Learning Representations (ICLR 2025)
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Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Cristian Rodriguez‑Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese‑Taylor, Anton van den Henge
Proceedings of the 2025 International Conference on Learning Representations (ICLR 2025), 2025
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Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe
Zhenxuan Yu, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
Proceedings of the International Conference on Computational Linguistics (COLING 2025), January 2025
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Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web
Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur
Transactions on Machine Learning Research (TMLR), 2025
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Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials
Hiroki Furuta, Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
Transactions on Machine Learning Research (TMLR).
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Advanced Robotics Best Survey Paper Award, 2024
Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo,
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第4回全脳アーキテクチャハッカソン優秀賞
谷口 尚平, 梶原 侑馬, 櫻木 善将, 長沼 大樹, 松嶋 達也.
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2024年度人工知能学会全国大会優秀賞：ADOPT: ハイパーパラメータに依存せずに最適レートで収束する適応的最適化アルゴリズムの提案
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
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IEEE ICRA Best Paper Award in Robot Manipulation – Finalist. 2024 IEEE International Conference on Robotics and Automation (ICRA2024)
S. Levine, C. Finn, K. Goldberg, L. Chen, G. Sukhatme, S. Dass, L. Pinto, Y. Zhu, Y. Zhu, S. Song, O. Mees, D. Pathak, H. Fang, H. Christensen, M. Ding, Y. Lee, D. Sadigh, I. Radosavovic, J. Bohg, X. Wang, X. Li, K. Rana, K. Kawaharazuka, T. Matsushima, J. Oh, T. Osa, O. Kroemer, B. Kim, E. Johns, F. Stulp, J. Schneider, J. Wu, Y. Li, H. Amor, L. Ott, R. Martín-Martín, K. Hausman, Q. Vuong, P. Sanketi, N. Heess, V. Vanhoucke, K. Pertsch, S. Schaal, C. Chi, C. Pan, A. Bewley.