Yusuke Iwasawa

146 papers A* 21A 4B 3Misc 1Journal 88Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making. CoRR Yusuke Watanabe, Yohei Kobashi, Takeshi Kojima, Yusuke Iwasawa, Yasushi Okuno, Yutaka Matsuo
2026	J	`jnl`	EC-Bench: Enumeration and Counting Benchmark for Ultra-Long Videos. CoRR Fumihiko Tsuchiya, Taiki Miyanishi, Mahiro Ukai, Nakamasa Inoue, Shuhei Kurita, Yusuke Iwasawa, Yutaka Matsuo
2026	J	`jnl`	Emergent Analogical Reasoning in Transformers. CoRR Gouki Minegishi, Jingyuan Feng, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2026	J	`jnl`	From Chains to Graphs: Self-Structured Reasoning for General-Domain LLMs. CoRR Yingjian Chen, Haoran Liu, Yinhong Liu, Sherry T. Tong, Aosong Feng, Jinghui Lu, Juntao Zhang, Yusuke Iwasawa, Yutaka Matsuo, Irene Li
2026	J	`jnl`	Grasp, Reason, Act: Tactile-Language Model for Zeroshot Sim2real Grasp Stability Prediction and Re-Grasping. IEEE Robotics Autom. Lett. Gang Yan, Jiaxian Guo, Khrapchenkov Petr, Zhongchao Zhou, Yaonan Zhu, Yusuke Iwasawa, Yutaka Matsuo
2026	—	`conf`	Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts. EACL (Volume 2: Short Papers) Shota Takashiro, Takeshi Kojima, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo
2026	—	`conf`	Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning. EACL (Volume 2: Short Papers) Jerry Huang, Peng Lu, Qiuhao Zeng, Yusuke Iwasawa, Yutaka Matsuo, Sarath Chandar, Edison Marrese-Taylor, Irene Li
2026	J	`jnl`	Investigating the Multilingual Calibration Effects of Language Model Instruction-Tuning. CoRR Jerry Huang, Peng Lu, Qiuhao Zeng, Yusuke Iwasawa, Yutaka Matsuo, Sarath Chandar, Edison Marrese-Taylor, Irene Li
2026	J	`jnl`	JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese Large Language Models. CoRR Junyu Liu, Zirui Li, Qian Niu, Zequn Zhang, Yue Xun, Wenlong Hou, Shujun Wang, Yusuke Iwasawa, Yutaka Matsuo, Kan Hatakeyama-Sato
2026	J	`jnl`	Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models. CoRR Xiaojie Gu, Sherry T. Tong, Aosong Feng, Sophia Simeng Han, Jinghui Lu, Yingjian Chen, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Rex Ying, Irene Li
2026	J	`jnl`	PhysQuantAgent: An Inference Pipeline of Mass Estimation for Vision-Language Models. CoRR Hisayuki Yokomizo, Taiki Miyanishi, Yan Gang, Shuhei Kurita, Nakamasa Inoue, Yusuke Iwasawa
2026	J	`jnl`	Residual Koopman Spectral Profiling for Predicting and Preventing Transformer Training Instability. CoRR Bum Jun Kim, Shohei Taniguchi, Makoto Kawano, Yusuke Iwasawa, Yutaka Matsuo
2026	—	`conf`	Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths. EACL (Findings) Masaki Sashida, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2026	J	`jnl`	SAIL: Test-Time Scaling for In-Context Imitation Learning with VLM. CoRR Makoto Sato, Yusuke Iwasawa, Yujin Tang, So Kuroki
2026	J	`jnl`	Safe Transformer: An Explicit Safety Bit For Interpretable And Controllable Alignment. CoRR Jingyuan Feng, Andrew Gambardella, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2026	—	`conf`	Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models. EACL (Volume 2: Short Papers) Qi Cao, Andrew Gambardella, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
2026	J	`jnl`	Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models. CoRR Qi Cao, Andrew Gambardella, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
2026	J	`jnl`	Toward Global Large Language Models in Medicine. CoRR Rui Yang, Huitao Li, Weihao Xuan, Heli Qi, Xin Li, Kunyu Yu, Yingjian Chen, Rongrong Wang, Jacques Behmoaras, Tianxi Cai, Bibhas Chakraborty, Qingyu Chen, Lionel Tim-Ee Cheng, Marie-Louise Damwanza, Chido Dzinotyiwei, Aosong Feng, Chuan Hong, Yusuke Iwasawa, Yuhe Ke, Linah Kitala, Taehoon Ko, Jisan Lee, Irene Li, Jonathan Chong Kai Liew, Hongfang Liu, Lian Leng Low, Edison Marrese-Taylor, Yutaka Matsuo, Isheanesu Misi, Yilin Ning, Jasmine Chiat Ling Ong, Marcus Eng Hock Ong, Enrico Petretto, Hossein Rouhizadeh, Abiram Sandralegar, Oren Schreier, Iain Bee Huat Tan, Patrick Tan, Daniel Shu Wei Ting, Junjue Wang, Chunhua Weng, Matthew Yu Heng Wong, Fang Wu, Yunze Xiao, Xuhai Xu, Qingcheng Zeng, Zhuo Zheng, Yifan Peng, Douglas Teodoro, Nan Liu
2026	J	`jnl`	Towards High-resolution and Disentangled Reference-based Sketch Colorization. CoRR Dingkun Yan, Xinrui Wang, Ru Wang, Zhuoru Li, Jinze Yu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
2026	J	`jnl`	∞-MoE: Generalizing Mixture of Experts to Infinite Experts. CoRR Shota Takashiro, Takeshi Kojima, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo
2025	A*	`conf`	A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics. IJCAI Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo
2025	J	`jnl`	A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics. CoRR Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo
2025	A	`conf`	AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots. CIKM Xinjie Zhao, Moritz Blum, Fan Gao, Yingjian Chen, Boming Yang, Luis Marquez-Carpintero, Monica Pina-Navarro, Yanran Fu, So Morikawa, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Irene Li
2025	J	`jnl`	AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots. CoRR Xinjie Zhao, Moritz Blum, Fan Gao, Yingjian Chen, Boming Yang, Luis Marquez-Carpintero, Monica Pina-Navarro, Yanran Fu, So Morikawa, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Irene Li
2025	J	`jnl`	AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation. CoRR Ryosuke Takanami, Petr Khrapchenkov, Shu Morikuni, Jumpei Arima, Yuta Takaba, Shunsuke Maeda, Takuya Okubo, Genki Sano, Satoshi Sekioka, Aoi Kadoya, Motonari Kambara, Naoya Nishiura, Haruto Suzuki, Takanori Yoshimoto, Koya Sakamoto, Shinnosuke Ono, Hu Yang, Daichi Yashima, Aoi Horo, Tomohiro Motoda, Kensuke Chiyoma, Hiroshi Ito, Koki Fukuda, Akihito Goto, Kazumi Morinaga, Yuya Ikeda, Riko Kawada, Masaki Yoshikawa, Norio Kosuge, Yuki Noguchi, Kei Ota, Tatsuya Matsushima, Yusuke Iwasawa, Yutaka Matsuo, Tetsuya Ogata
2025	—	`conf`	Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning. ACL (Findings) Shota Takashiro, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise. CoRR Keno Harada, Lui Yoshida, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization. CoRR Ru Wang, Wei Huang, Selena Song, Haoyu Zhang, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
2025	A*	`conf`	Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence. ICML Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence. CoRR Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks. Trans. Mach. Learn. Res. Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities. CoRR Dingkun Yan, Xinrui Wang, Yusuke Iwasawa, Yutaka Matsuo, Suguru Saito, Jiaxian Guo
2025	J	`jnl`	Continual Pre-training on Character-level Noisy Texts Makes Decoder-based Language Models Robust Few-shot Learners. Trans. Assoc. Comput. Linguistics Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
2025	—	`conf`	Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data. IJCNLP-AACL (long papers) Yohei Kobashi, Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
2025	—	`conf`	Dynamic Injection of Entity Knowledge into Dense Retrievers. EMNLP (Findings) Ikuya Yamada, Ryokan Ri, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Dynamic Injection of Entity Knowledge into Dense Retrievers. CoRR Ikuya Yamada, Ryokan Ri, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Enhancing Reference-based Sketch Colorization via Separating Reference Representations. CoRR Dingkun Yan, Xinrui Wang, Zhuoru Li, Suguru Saito, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
2025	J	`jnl`	How Semantically Informative is an Image?: Measuring the Covariance-Weighted Norm of Contrastive Learning Embeddings. CoRR Fumiya Uchiyama, Rintaro Yanagi, Shohei Taniguchi, Shota Takashiro, Masahiro Suzuki, Hirokatsu Kataoka, Yusuke Iwasawa, Yutaka Matsuo
2025	A*	`conf`	Image Referenced Sketch Colorization Based on Animation Creation Workflow. CVPR Dingkun Yan, Xinrui Wang, Zhuoru Li, Suguru Saito, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
2025	J	`jnl`	Image Referenced Sketch Colorization Based on Animation Creation Workflow. CoRR Dingkun Yan, Xinrui Wang, Zhuoru Li, Suguru Saito, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
2025	—	`conf`	Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar. ACL (2) Andrew Gambardella, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar. CoRR Andrew Gambardella, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	LLMs-guided adaptive compensator: Bringing Adaptivity to Automatic Control Systems with Large Language Models. CoRR Zhongchao Zhou, Yuxi Lu, Yaonan Zhu, Yifan Zhao, Bin He, Liang He, Wenwei Yu, Yusuke Iwasawa
2025	J	`jnl`	Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection. CoRR Bo Yang, Jiaxian Guo, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Leave No Observation Behind: Real-time Correction for VLA Action Chunks. CoRR Kohei Sendai, Maxime Alvarez, Tatsuya Matsushima, Yutaka Matsuo, Yusuke Iwasawa
2025	—	`conf`	Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge. NAACL (Findings) Meiyun Wang, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering. CoRR Feiyang Li, Yingjian Chen, Haoran Liu, Rui Yang, Han Yuan, Yuang Jiang, Tianxiao Li, Edison Marrese-Taylor, Hossein Rouhizadeh, Yusuke Iwasawa, Douglas Teodoro, Yutaka Matsuo, Irene Li
2025	A*	`conf`	MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation. EMNLP 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
2025	J	`jnl`	MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation. CoRR Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Yun Xing, Junjue Wang, Huitao Li, Xin Li, Kunyu Yu, Nan Liu, Qingyu Chen, Douglas Teodoro, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li
2025	J	`jnl`	MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation. CoRR Yuta Oshima, Daiki Miyake, Kohsei Matsutani, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta
2025	J	`jnl`	RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs. CoRR Kohsei Matsutani, Shota Takashiro, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	A*	`conf`	ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA. EMNLP Xinjie Zhao, Fan Gao, Xingyu Song, Yingjian Chen, Rui Yang, Yanran Fu, Yuyang Wang, Yusuke Iwasawa, Yutaka Matsuo, Irene Li
2025	J	`jnl`	Real-time data-efficient portrait stylization via geometric alignment. Neural Networks Xinrui Wang, Zhuoru Li, Xuanyu Yin, Xiao Zhou, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
2025	A*	`conf`	Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words. ICLR Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words. CoRR Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training. CoRR Sodtavilan Odonchimed, Tatsuya Matsushima, Simon Holk, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	SPARK: Graph-Based Online Semantic Integration System for Robot Task Planning. CoRR Mimo Shirasaka, Yuya Ikeda, Tatsuya Matsushima, Yutaka Matsuo, Yusuke Iwasawa
2025	J	`jnl`	Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning. CoRR Ru Wang, Wei Huang, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
2025	B	`conf`	Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe. COLING Zhenxuan Yu, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
2025	J	`jnl`	Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties. CoRR Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models. CoRR Bum Jun Kim, Makoto Kawano, Yusuke Iwasawa, Yutaka Matsuo
2025	—	`conf`	When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following. EMNLP (Findings) Keno Harada, Yudai Yamazaki, Masachika Taniguchi, Edison Marrese-Taylor, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following. CoRR Keno Harada, Yudai Yamazaki, Masachika Taniguchi, Edison Marrese-Taylor, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	WorldPack: Compressed Memory Improves Spatial Consistency in Video World Modeling. CoRR Yuta Oshima, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta
2024	A*	`conf`	ADOPT: Modified Adam Can Converge with Any β NeurIPS Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
2024	J	`jnl`	ADOPT: Modified Adam Can Converge with Any β CoRR Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
2024	J	`jnl`	Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning. CoRR Shota Takashiro, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
2024	A*	`conf`	GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy. ICRA So Kuroki, Jiaxian Guo, Tatsuya Matsushima, Takuya Okubo, Masato Kobayashi, Yuya Ikeda, Ryosuke Takanami, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
2024	J	`jnl`	Interpreting Grokked Transformers in Complex Modular Arithmetic. CoRR Hiroki Furuta, Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
2024	—	`conf`	Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks. ACL (Short Papers) Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo
2024	J	`jnl`	Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks. CoRR Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo
2024	—	`conf`	On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons. NAACL-HLT Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, Hitomi Yanaka, Yutaka Matsuo
2024	J	`jnl`	On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons. CoRR Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, Hitomi Yanaka, Yutaka Matsuo
2024	A*	`conf`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 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, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. 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 Paul 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, Haoshu 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 T. 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 Sünderhauf, 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-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. 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, Liangwei Xu, 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
2024	Misc	`conf`	Paste and Harmonize via Denoising: Subject-Driven Image Editing with Frozen Pre-Trained Diffusion Model. ICASSP Xin Zhang, Jiaxian Guo, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
2024	A*	`conf`	Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery. ICRA Mimo Shirasaka, Tatsuya Matsushima, Soshi Tsunashima, Yuya Ikeda, Aoi Horo, So Ikoma, Chikaha Tsuji, Hikaru Wada, Tsunekazu Omija, Dai Komukai, Yutaka Matsuo, Yusuke Iwasawa
2024	J	`jnl`	Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials. Trans. Mach. Learn. Res. Hiroki Furuta, Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
2024	A*	`conf`	Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? EMNLP Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
2024	J	`jnl`	Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? CoRR Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
2023	A*	`conf`	A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation. ICLR Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu
2023	J	`jnl`	Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow. Pattern Recognit. Lett. Bo Yang, Jianming Wu, Kazushi Ikeda, Gen Hattori, Masaru Sugano, Yusuke Iwasawa, Yutaka Matsuo
2023	A*	`conf`	End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization. ICML Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
2023	J	`jnl`	End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization. CoRR Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
2023	J	`jnl`	GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy. CoRR So Kuroki, Jiaxian Guo, Tatsuya Matsushima, Takuya Okubo, Masato Kobayashi, Yuya Ikeda, Ryosuke Takanami, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
2023	J	`jnl`	GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy. CoRR So Kuroki, Jiaxian Guo, Tatsuya Matsushima, Takuya Okubo, Masato Kobayashi, Yuya Ikeda, Ryosuke Takanami, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
2023	J	`jnl`	Grokking Tickets: Lottery Tickets Accelerate Grokking. CoRR Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
2023	—	`conf`	Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following. MMM (2) Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
2023	J	`jnl`	Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following. CoRR Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
2023	J	`jnl`	Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model. CoRR Xin Zhang, Jiaxian Guo, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
2023	J	`jnl`	Robustifying Vision Transformer Without Retraining from Scratch Using Attention-Based Test-Time Adaptation. New Gener. Comput. Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2023	J	`jnl`	Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery. CoRR Mimo Shirasaka, Tatsuya Matsushima, Soshi Tsunashima, Yuya Ikeda, Aoi Horo, So Ikoma, Chikaha Tsuji, Hikaru Wada, Tsunekazu Omija, Dai Komukai, Yutaka Matsuo, Yusuke Iwasawa
2023	J	`jnl`	Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4. CoRR Jiaxian Guo, Bo Yang, Paul Yoo, Bill Yuchen Lin, Yusuke Iwasawa, Yutaka Matsuo
2023	J	`jnl`	TRAIL Team Description Paper for RoboCup@Home 2023. CoRR Chikaha Tsuji, Dai Komukai, Mimo Shirasaka, Hikaru Wada, Tsunekazu Omija, Aoi Horo, Daiki Furuta, Saki Yamaguchi, So Ikoma, Soshi Tsunashima, Masato Kobayashi, Koki Ishimoto, Yuya Ikeda, Tatsuya Matsushima, Yusuke Iwasawa, Yutaka Matsuo
2023	A*	`conf`	Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text. EMNLP Qi Cao, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
2023	J	`jnl`	Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text. CoRR Qi Cao, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
2022	J	`jnl`	A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation. CoRR Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu
2022	J	`jnl`	Detecting Object-Level Scene Changes in Images with Viewpoint Differences Using Graph Matching. Remote. Sens. Kento Doi, Ryuhei Hamaguchi, Yusuke Iwasawa, Masaki Onishi, Yutaka Matsuo, Ken Sakurada
2022	J	`jnl`	Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer. Pattern Recognit. Lett. Bo Yang, Jianming Wu, Kazushi Ikeda, Gen Hattori, Masaru Sugano, Yusuke Iwasawa, Yutaka Matsuo
2022	A*	`conf`	Langevin Autoencoders for Learning Deep Latent Variable Models. NeurIPS Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo
2022	J	`jnl`	Langevin Autoencoders for Learning Deep Latent Variable Models. CoRR Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo
2022	A*	`conf`	Large Language Models are Zero-Shot Reasoners. NeurIPS Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa
2022	J	`jnl`	Large Language Models are Zero-Shot Reasoners. CoRR Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa
2022	J	`jnl`	Realtime Fewshot Portrait Stylization Based On Geometric Alignment. CoRR Xinrui Wang, Zhuoru Li, Xiao Zhou, Yusuke Iwasawa, Yutaka Matsuo
2022	A*	`conf`	Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment. IJCAI Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
2022	J	`jnl`	Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment. CoRR Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
2022	J	`jnl`	World Robot Challenge 2020 - Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator. CoRR Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo
2022	J	`jnl`	World robot challenge 2020 - partner robot: a data-driven approach for room tidying with mobile manipulator. Adv. Robotics Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo
2021	J	`jnl`	Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization. CoRR Xin Zhang, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu
2021	J	`jnl`	Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL. CoRR Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
2021	—	`conf`	Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning. L4DC Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
2021	J	`jnl`	Graph-based knowledge tracing: Modeling student proficiency using graph neural networks. Web Intell. Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo
2021	A*	`conf`	Group Equivariant Conditional Neural Processes. ICLR Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
2021	J	`jnl`	Group Equivariant Conditional Neural Processes. CoRR Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
2021	J	`jnl`	Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following. CoRR Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
2021	J	`jnl`	Information-theoretic regularization for learning global features by sequential VAE. Mach. Learn. Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
2021	—	`conf`	Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training. EACL (Student Research Workshop) Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2021	A*	`conf`	Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization. NeurIPS Yusuke Iwasawa, Yutaka Matsuo
2021	J	`jnl`	Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks. CoRR Takumi Watanabe, Hiroki Takahashi, Goh Sato, Yusuke Iwasawa, Yutaka Matsuo, Ikuko Eguchi Yairi
2020	J	`jnl`	Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis. CoRR Kenya Sakka, Kotaro Nakayama, Nisei Kimura, Taiki Inoue, Yusuke Iwasawa, Ryohei Yamaguchi, Yoshimasa Kawazoe, Kazuhiko Ohe, Yutaka Matsuo
2020	J	`jnl`	Modeling Task Uncertainty for Safe Meta-Imitation Learning. Frontiers Robotics AI Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo
2020	A*	`conf`	Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective. IJCAI Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo
2020	—	`conf`	Visualizing Road Condition Information by Applying the AutoEncoder to Wheelchair Sensing Data for Road Barrier Assessment. JSAI Goh Sato, Takumi Watanabe, Hiroki Takahashi, Yojiro Yano, Yusuke Iwasawa, Ikuko Eguchi Yairi
2020	J	`jnl`	Weakly Supervised Learning for Evaluating Road Surface Condition from Wheelchair Driving Data. Inf. Takumi Watanabe, Hiroki Takahashi, Yusuke Iwasawa, Yutaka Matsuo, Ikuko Eguchi Yairi
2019	—	`conf`	Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization. ECML/PKDD (2) Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
2019	J	`jnl`	Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization. CoRR Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
2019	J	`jnl`	Estimating Spatiotemporal Information from Behavioral Sensing Data of Wheelchair Users by Machine Learning Technologies. Inf. Ikuko Eguchi Yairi, Hiroki Takahashi, Takumi Watanabe, Kouya Nagamine, Yusuke Fukushima, Yutaka Matsuo, Yusuke Iwasawa
2019	B	`conf`	Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network. WI Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo
2019	—	`conf`	UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On Network. ICCV Workshops Shizuma Kubo, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo
2018	—	`conf`	Censoring Representations with Multiple-Adversaries over Random Subspaces. ICLR (Workshop) Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo
2018	—	`conf`	Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision. ICLR (Workshop) Abdul Rahman Abdul Ghani, Nishanth Koganti, Alfredo Solano, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo
2018	—	`conf`	End-to-End Deep Knowledge Tracing by Learning Binary Question-Embedding. ICDM Workshops Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo
2018	—	`conf`	Expert-based reward function training: the novel method to train sequence generators. ICLR (Workshop) Joji Toyama, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo
2018	A	`conf`	Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder. INTERSPEECH Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
2018	J	`jnl`	Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder. CoRR Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
2018	—	`conf`	Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity. ICLR (Workshop) Hiroaki Shioya, Yusuke Iwasawa, Yutaka Matsuo
2018	—	`conf`	Neuron as an Agent. ICLR (Workshop) Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo
2018	—	`conf`	Virtual Reality as a User-friendly Interface for Learning from Demonstrations. CHI Extended Abstracts Nishanth Koganti, Abdul Rahman Abdul Ghani, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo
2017	A*	`conf`	Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training. IJCAI Yusuke Iwasawa, Kotaro Nakayama, Ikuko Yairi, Yutaka Matsuo
2016	J	`jnl`	Combining Human Action Sensing of Wheelchair Users and Machine Learning for Autonomous Accessibility Data Collection. IEICE Trans. Inf. Syst. Yusuke Iwasawa, Ikuko Eguchi Yairi, Yutaka Matsuo
2015	—	`conf`	An estimation of wheelchair user's muscle fatigue by accelerometers on smart devices. UbiComp/ISWC Adjunct Koya Nagamine, Yusuke Iwasawa, Yutaka Matsuo, Ikuko Eguchi Yairi
2015	A	`conf`	Road Sensing: Personal Sensing and Machine Learning for Development of Large Scale Accessibility Map. ASSETS Yusuke Iwasawa, Koya Nagamine, Yutaka Matsuo, Ikuko Eguchi Yairi
2015	—	`conf`	Toward an Automatic Road Accessibility Information Collecting and Sharing Based on Human Behavior Sensing Technologies of Wheelchair Users. EUSPN/ICTH Yusuke Iwasawa, Kouya Nagamine, Ikuko Eguchi Yairi, Yutaka Matsuo
2013	—	`conf`	Detecting Exceptional Actions Using Wearable Sensors' Data for Developing Life-Log Database of Visually Impaired People. AAAI Spring Symposium: Data Driven Wellness Yusuke Iwasawa, Hidetaka Suzuki, Ikuko Eguchi Yairi
2013	—	`conf`	Spatiotemporal Life-Log Mining of Wheelchair Users' Driving for Visualizing Accessibility of Roads. ICDM Workshops Yusuke Iwasawa, Ikuko Eguchi Yairi
2012	B	`conf`	Life-Logging of Wheelchair Driving on Web Maps for Visualizing Potential Accidents and Incidents. PRICAI Yusuke Iwasawa, Ikuko Eguchi Yairi
2011	A	`conf`	Do multi-touch screens help visually impaired people to recognize graphics. ASSETS Ikuko Eguchi Yairi, Kumi Naoe, Yusuke Iwasawa, Yusuke Fukushima