Matsuo, Yutaka

71 publications

IJCAI 2025 A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-Enabled Robotics Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo

ICML 2025 Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo

TMLR 2025 Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo

ICCV 2025 CityNav: A Large-Scale Dataset for Real-World Aerial Navigation Jungdae Lee, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Yutaka Matsuo, Nakamasa Inoue

TMLR 2025 Efficient Object-Centric Representation Learning Using Masked Generative Modeling Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

ICLRW 2025 FullDiffusion: Diffusion Models Without Time Truncation Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

ICCV 2025 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

CVPR 2025 Image Referenced Sketch Colorization Based on Animation Creation Workflow Dingkun Yan, Xinrui Wang, Zhuoru Li, Suguru Saito, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

ICLRW 2025 In-Context Meta Learning Induces Multi-Phase Circuit Emergence Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo

NeurIPS 2025 Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta

ICLRW 2025 MMA: Benchmarking Multi-Modal Large Language Model in Ambiguity Contexts Ru Wang, Selena Song, Liang Ding, Mingming Gong, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

ICLR 2025 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

NeurIPS 2025 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

ICLR 2025 Rethinking Evaluation of Sparse Autoencoders Through the Representation of Polysemous Words Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo

TMLR 2025 The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities Manato Yaguchi, Kotaro Sakamoto, Ryosuke Sakamoto, Masato Tanabe, Masatomo Akagawa, Yusuke Hayashi, Masahiro Suzuki, Yutaka Matsuo

NeurIPS 2025 Topology of Reasoning: Understanding Large Reasoning Models Through Reasoning Graph Properties Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

ICLR 2024 A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis Izzeddin Gur, Hiroki Furuta, Austin V Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust

NeurIPS 2024 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, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

NeurIPSW 2024 Creativity Has Entered the Chat, with a Stranger: Novelty Is a Nash Equilibrium Kotaro Sakamoto, Shiro Takagi, Shuhei Ogawa, Yutaka Matsuo

TMLR 2024 Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur

ICLRW 2024 Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur

NeurIPSW 2024 Faster Slot Decoding Using Masked Transformer Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

NeurIPS 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka Matsuo, Aleksandra Faust, Heiga Zen, Izzeddin Gur

ICLR 2024 Multimodal Web Navigation with Instruction-Finetuned Foundation Models Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Shane Gu, Izzeddin Gur

NeurIPSW 2024 Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases Cristian Meo, Akihiro Nakano, Mircea Tudor Lică, Aniket Rajiv Didolkar, Masahiro Suzuki, Anirudh Goyal, Mengmi Zhang, Justin Dauwels, Yutaka Matsuo, Yoshua Bengio

ICLRW 2024 SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

ICMLW 2024 The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts Wakana Haijima, Kou Nakakubo, Masahiro Suzuki, Yutaka Matsuo

ICMLW 2024 The Geometry of Diffusion Models: Tubular Neighbourhoods and Singularities Kotaro Sakamoto, Ryosuke Sakamoto, Masato Tanabe, Masatomo Akagawa, Yusuke Hayashi, Manato Yaguchi, Masahiro Suzuki, Yutaka Matsuo

TMLR 2024 Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials Hiroki Furuta, Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo

ICLR 2023 A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu

NeurIPS 2023 DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views Paul Yoo, Jiaxian Guo, Yutaka Matsuo, Shixiang Gu

ICML 2023 End-to-End Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

ICLRW 2023 Instruction-Finetuned Foundation Models for Multimodal Web Navigation Hiroki Furuta, Ofir Nachum, Kuang-Huei Lee, Yutaka Matsuo, Shixiang Shane Gu, Izzeddin Gur

ICLR 2023 Interaction-Based Disentanglement of Entities for Object-Centric World Models Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

NeurIPSW 2023 Language Model Agents Suffer from Compositional Generalization in Web Automation Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur

ICML 2023 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

NeurIPSW 2022 Control Graph as Unified IO for Morphology-Task Generalization Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu

NeurIPSW 2022 Control Graph as Unified IO for Morphology-Task Generalization Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu

ICLR 2022 Generalized Decision Transformer for Offline Hindsight Information Matching Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu

NeurIPS 2022 Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo

NeurIPS 2022 Large Language Models Are Zero-Shot Reasoners Takeshi Kojima, Shixiang Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa

ICMLW 2022 Large Language Models Are Zero-Shot Reasoners Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa

IJCAI 2022 Robustifying Vision Transformer Without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa

NeurIPS 2021 Co-Adaptation of Algorithmic and Implementational Innovations in Inference-Based Deep Reinforcement Learning Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Gu

ICLR 2021 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Gu

L4DC 2021 Estimating Disentangled Belief About Hidden State and Hidden Task for Meta-Reinforcement Learning Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

NeurIPSW 2021 Generalized Decision Transformer for Offline Hindsight Information Matching Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu

ICLR 2021 Group Equivariant Conditional Neural Processes Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo

MLJ 2021 Information-Theoretic Regularization for Learning Global Features by Sequential VAE Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

ICML 2021 Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu

NeurIPS 2021 Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization Yusuke Iwasawa, Yutaka Matsuo

AAAI 2021 Variational Inference for Learning Representations of Natural Language Edits Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo

ICLR 2020 Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks Hirono Okamoto, Masahiro Suzuki, Yutaka Matsuo

IJCAI 2020 Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo

ICLRW 2019 Adversarial Feature Learning Under Accuracy Constraint for Domain Generalization Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

ECML-PKDD 2019 Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

ICLRW 2019 Dual Space Learning with Variational Autoencoders Hirono Okamoto, Masahiro Suzuki, Itto Higuchi, Shohei Ohsawa, Yutaka Matsuo

ICLRW 2019 Invariant Feature Learning by Attribute Perception Matching Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo

ICCVW 2019 UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-on Network Shizuma Kubo, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo

ICLR 2017 Joint Multimodal Learning with Deep Generative Models Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo

CVPRW 2017 Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection Mohammadamin Barekatain, Miquel Martí, Hsueh-Fu Shih, Samuel Murray, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger

IJCAI 2017 Privacy Issues Regarding the Application of DNNs to Activity-Recognition Using Wearables and Its Countermeasures by Use of Adversarial Training Yusuke Iwasawa, Kotaro Nakayama, Ikuko Yairi, Yutaka Matsuo

IJCAI 2011 Mining Longitudinal Network for Predicting Company Value Yingzi Jin, Ching-Yung Lin, Yutaka Matsuo, Mitsuru Ishizuka

IJCAI 2011 Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka

AAAI 2008 Generating Useful Network-Based Features for Analyzing Social Networks Jun Karamon, Yutaka Matsuo, Mitsuru Ishizuka

AAAI 2007 Analyzing Reading Behavior by Blog Mining Tadanobu Furukawa, Mitsuru Ishizuka, Yutaka Matsuo, Ikki Ohmukai, Koki Uchiyama

IJCAI 2007 Extracting Keyphrases to Represent Relations in Social Networks from Web Junichiro Mori, Mitsuru Ishizuka, Yutaka Matsuo

IJCAI 2007 Inferring Long-Term User Properties Based on Users' Location History Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yoshiyuki Nakamura, Takuichi Nishimura, Kôiti Hasida, Hideyuki Nakashima

AAAI 2007 Relation Extraction from Wikipedia Using Subtree Mining Dat P. T. Nguyen, Yutaka Matsuo, Mitsuru Ishizuka

AAAI 2007 Robust Estimation of Google Counts for Social Network Extraction Yutaka Matsuo, Hironori Tomobe, Takuichi Nishimura

AAAI 2006 Spinning Multiple Social Networks for Semantic Web Yutaka Matsuo, Masahiro Hamasaki, Yoshiyuki Nakamura, Takuichi Nishimura, Kôiti Hasida, Hideaki Takeda, Junichiro Mori, Danushka Bollegala, Mitsuru Ishizuka