Authors · raw publication identity

Yutaka Matsuo

2022–2026 LIVE

日本の大学への公開時点の所属を確認できた著者表記を掲載しています。大学IDと完全一致の著者名でまとめており、人物の名寄せはしていません。同名別人や表記違いの可能性があり、現在所属・全業績・研究者の総合順位を表すものではありません。

公開時所属: 東京大学 · Top conference papers: 44

印刷日: 全論文

出典:https://topcsuniv.org/japan/authors/b29e189d6a0fb52a3771/

論文上の著者表記・公開時所属による集計です。人物の名寄せ・現在所属・全業績を表すものではありません。

分野別内訳

分野別の本数はcross-listにより重なる場合があります。合計本数は同一論文を1本に数えます。

論文一覧

  1. 2026 · ACL

    Understanding Emergent Misalignment via Feature Superposition Geometry

    Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

    Natural Language Processing

    日本大学: 東京大学

  2. 2026 · CVPR

    CLIP-like Model as a Foundational Density Ratio Estimator

    Fumiya Uchiyama, Rintaro Yanagi, Shohei Taniguchi, Shota Takashiro, Masahiro Suzuki, Hirokatsu Kataoka, Yusuke Iwasawa, Yutaka Matsuo

    Computer Vision

    日本大学: 東京大学

  3. 2026 · CVPR

    MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation

    Yuta Oshima, Daiki Miyake, Kohsei Matsutani, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta

    Computer Vision

    日本大学: 東京大学

  4. 2026 · CVPR

    Towards High-resolution and Disentangled Reference-based Sketch Colorization

    Dingkun Yan, Xinrui Wang, Ru Wang, Zhuoru Li, Jinze Yu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

    Computer Vision

    日本大学: 東京大学 / 早稲田大学

  5. 2026 · ECCV

    E3VS-Bench: A Benchmark for Viewpoint-Dependent Active Perception in 3D Gaussian Splatting Scenes

    Koya Sakamoto, Taiki Miyanishi, Daichi Azuma, Shuhei Kurita, Shu Morikuni, Naoya Chiba, Motoaki Kawanabe, Yusuke Iwasawa, Yutaka Matsuo

    Computer Vision

    日本大学: 東京科学大学 / 大阪大学 / 東京大学

  6. 2026 · ICLR

    C-Voting: Confidence-Based Test-Time Voting without Explicit Energy Functions

    Kenji Kubo, Shunsuke Kamiya, Masanori Koyama, Kohei Hayashi, Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  7. 2026 · ICLR

    Does “Do Differentiable Simulators Give Better Policy Gradients?” Give Better Policy Gradients?

    Ku Onoda, Paavo Parmas, Manato Yaguchi, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  8. 2026 · ICLR

    Quantization-Aware Diffusion Models For Maximum Likelihood Training

    Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  9. 2026 · ICLR

    RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs

    Kohsei Matsutani, Shota Takashiro, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  10. 2026 · ICLR

    SELF-HARMONY: LEARNING TO HARMONIZE SELF-SUPERVISION AND SELF-PLAY IN TEST-TIME REINFORCEMENT LEARNING

    Ru Wang, Wei Huang, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

    Machine Learning

    日本大学: 東京大学

  11. 2026 · ICML

    Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying

    Soichiro Nishimori, Paavo Parmas, Sotetsu Koyamada, Tadashi Kozuno, Toshinori Kitamura, Shin Ishii, Yutaka Matsuo

    Machine Learning

    日本大学: 神戸大学 / 京都大学 / 東京大学

  12. 2026 · ICML

    Emergent Analogical Reasoning in Transformers

    Gouki Minegishi, Jingyuan Feng, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  13. 2026 · ICML

    Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models Against Gaussian Noise

    Bum Jun Kim, Makoto Kawano, Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  14. 2025 · CVPR

    Image Referenced Sketch Colorization Based on Animation Creation Workflow

    Dingkun Yan, Xinrui Wang, Zhuoru Li, Suguru Saito, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

    Computer Vision

    日本大学: 東京科学大学 / 東京大学

  15. 2025 · EMNLP

    MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation

    Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Aosong Feng, Dairui Liu, Yun Xing, Junjue Wang, Fan Gao, Jinghui Lu, Yuang Jiang, Huitao Li, Xin Li, Kunyu Yu, Ruihai Dong, Shangding Gu, Yuekang Li, Xiaofei Xie, Felix Juefei-Xu, Foutse Khomh, Osamu Yoshie, Qingyu Chen, Douglas Teodoro, Nan Liu, Randy Goebel, Lei Ma, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li

    Natural Language Processing

    日本大学: 東京大学 / 早稲田大学

  16. 2025 · EMNLP

    ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA

    Zhao Xinjie, Fan Gao, Xingyu Song, Yingjian Chen, Rui Yang, Yanran Fu, Yuyang Wang, Yusuke Iwasawa, Yutaka Matsuo, Irene Li

    Natural Language Processing

    日本大学: 東京大学

  17. 2025 · ICCV

    CityNav: A Large-Scale Dataset for Real-World Aerial Navigation

    Jungdae Lee, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Yutaka Matsuo, Nakamasa Inoue

    Computer Vision

    日本大学: 東京科学大学 / 東京大学

  18. 2025 · ICCV

    GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields

    Shunsuke Yasuki, Taiki Miyanishi, Nakamasa Inoue, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Masato Taki, Yutaka Matsuo

    Computer Vision

    日本大学: 東京科学大学 / 立教大学 / 東京大学

  19. 2025 · ICLR

    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

    Machine Learning

    日本大学: 京都大学 / 東京大学

  20. 2025 · ICLR

    Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words

    Gouki Gouki, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  21. 2025 · ICML

    Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence

    Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  22. 2025 · NAACL

    Language Models can Categorize System Inputs for Performance Analysis

    Dominic Sobhani, Ruiqi Zhong, Edison Marrese-Taylor, Keisuke Sakaguchi, Yutaka Matsuo

    Natural Language Processing

    日本大学: 東北大学 / 東京大学

  23. 2025 · NeurIPS

    Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search

    Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta

    Machine Learning

    日本大学: 東京大学

  24. 2025 · NeurIPS

    Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation

    Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Wataru Kumagai, Kazumi Kasaura, Kenta Hoshino, Yohei Hosoe, Yutaka Matsuo

    Machine Learning

    日本大学: 東京科学大学 / 京都大学 / 東京大学

  25. 2025 · NeurIPS

    Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties

    Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  26. 2024 · EMNLP

    Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?

    Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo

    Natural Language Processing

    日本大学: 東京大学

  27. 2024 · ICLR

    A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

    Izzeddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust

    Machine Learning

    日本大学: 東京大学

  28. 2024 · ICLR

    Multimodal Web Navigation with Instruction-Finetuned Foundation Models

    Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Gu, Izzeddin Gur

    Machine Learning

    日本大学: 東京大学

  29. 2024 · ICRA

    GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy

    So Kuroki, Jiaxian Guo, Tatsuya Matsushima, Takuya Okubo, Masato Kobayashi, Yuya Ikeda, Ryosuke Takanami, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa

    Robotics

    日本大学: 大阪大学 / 東京大学

  30. 2024 · ICRA

    Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0

    Abby O’Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alex Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Hao-Shu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J Joshi, Niko Suenderhauf, Ning Liu, Norman Di Palo, Nur Muhammad Mahi Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Xu Liangwei, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

    Robotics

    日本大学: 東京大学

  31. 2024 · ICRA

    Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery

    Mimo Shirasaka, Tatsuya Matsushima, Soshi Tsunashima, Yuya Ikeda, Aoi Horo, So Ikoma, Chikaha Tsuji, Hikaru Wada, Tsunekazu Omija, Dai Komukai, Yutaka Matsuo, Yusuke Iwasawa

    Robotics

    日本大学: 東京大学

  32. 2024 · NAACL

    Media Bias Detection Across Families of Language Models

    Iffat Maab, Edison Marrese-Taylor, Sebastian Padó, Yutaka Matsuo

    Natural Language Processing

    日本大学: 東京大学

  33. 2024 · NAACL

    On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons

    Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, Hitomi Yanaka, Yutaka Matsuo

    Natural Language Processing

    日本大学: 東京大学

  34. 2024 · NeurIPS

    ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate

    Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara [東京科学大学] [東京大学], Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    日本大学: 東京科学大学 / 東京大学

  35. 2024 · NeurIPS

    Geometric-Averaged Preference Optimization for Soft Preference Labels

    Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka Matsuo, Aleksandra Faust, Heiga Zen, Izzeddin Gur

    Machine Learning

    日本大学: 東京大学

  36. 2023 · ICLR

    A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation

    Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Gu

    Machine Learning

    日本大学: 東京大学

  37. 2023 · ICLR

    Interaction-Based Disentanglement of Entities for Object-Centric World Models

    Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  38. 2023 · ICML

    End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization

    Shohei Taniguchi, Masahiro Suzuki [東京科学大学] [東京大学], Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    日本大学: 東京科学大学 / 東京大学

  39. 2023 · ICML

    Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice

    Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Menard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  40. 2023 · NeurIPS

    DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views

    Paul Yoo, Jiaxian Guo, Yutaka Matsuo, Shixiang (Shane) Gu

    Machine Learning

    日本大学: 東京大学

  41. 2022 · ICLR

    Generalized Decision Transformer for Offline Hindsight Information Matching

    Hiroki Furuta, Yutaka Matsuo, Shixiang Gu

    Machine Learning

    日本大学: 東京大学

  42. 2022 · IJCAI

    Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment

    Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa

    AI (General)

    日本大学: 東京大学

  43. 2022 · NeurIPS

    Langevin Autoencoders for Learning Deep Latent Variable Models

    Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo

    Machine Learning

    日本大学: 東京大学

  44. 2022 · NeurIPS

    Large Language Models are Zero-Shot Reasoners

    Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa

    Machine Learning

    日本大学: 東京大学