Yutaro Yamada - RankMe

31 papers A* 3B 2Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient. EvoCOP Yutaro Yamada, Kento Uchida, Shinichi Shirakawa
2025	B	`conf`	Human-Robot collaboration in surgery: Advances and challenges towards autonomous surgical assistants. RO-MAN Jacinto Colan, Ana Davila, Yutaro Yamada, Yasuhisa Hasegawa
2025	J	`jnl`	Human-Robot collaboration in surgery: Advances and challenges towards autonomous surgical assistants. CoRR Jacinto Colan, Ana Davila, Yutaro Yamada, Yasuhisa Hasegawa
2025	J	`jnl`	IST-ROS: A flexible object segmentation and tracking framework for robotics applications. SoftwareX Khusniddin Fozilov, Yutaro Yamada, Jacinto Colan, Yaonan Zhu, Yasuhisa Hasegawa
2025	—	`conf`	L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. NAACL (System Demonstrations) Yutaro Yamada, Khyathi Raghavi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi
2025	—	`conf`	Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective Dimensionality. GECCO Companion Haruhito Nakagawa, Yutaro Yamada, Kento Uchida, Shinichi Shirakawa
2025	J	`jnl`	The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search. CoRR Yutaro Yamada, Robert Tjarko Lange, Cong Lu, Shengran Hu, Chris Lu, Jakob N. Foerster, Jeff Clune, David Ha
2024	J	`jnl`	Embedded Image-to-Image Translation for Efficient Sim-to-Real Transfer in Learning-based Robot-Assisted Soft Manipulation. CoRR Jacinto Colan, Keisuke Sugita, Ana Davila, Yutaro Yamada, Yasuhisa Hasegawa
2024	J	`jnl`	Evaluating Spatial Understanding of Large Language Models. Trans. Mach. Learn. Res. Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai, Ilker Yildirim
2024	—	`conf`	How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. GECCO Companion Yutaro Yamada, Kento Uchida, Shinichi Shirakawa
2024	J	`jnl`	L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. CoRR Yutaro Yamada, Khyathi Raghavi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi
2024	J	`jnl`	Multimodal semi-supervised learning for online recognition of multi-granularity surgical workflows. Int. J. Comput. Assist. Radiol. Surg. Yutaro Yamada, Jacinto Colan, Ana Davila, Yasuhisa Hasegawa
2024	J	`jnl`	Task segmentation based on transition state clustering for surgical robot assistance. CoRR Yutaro Yamada, Jacinto Colan, Ana Davila, Yasuhisa Hasegawa
2024	J	`jnl`	Three-Dimensional Reconstruction Pre-Training as a Prior to Improve Robustness to Adversarial Attacks and Spurious Correlation. Entropy Yutaro Yamada, Fred Weiying Zhang, Yuval Kluger, Ilker Yildirim
2023	J	`jnl`	Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. CoRR Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev
2023	J	`jnl`	Evaluating Spatial Understanding of Large Language Models. CoRR Yutaro Yamada, Yihan Bao, Andrew K. Lampinen, Jungo Kasai, Ilker Yildirim
2023	J	`jnl`	Support recovery with Projected Stochastic Gates: Theory and application for linear models. Signal Process. Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum
2023	—	`conf`	Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. EvoApplications@EvoStar Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa
2023	A*	`conf`	When are Lemons Purple? The Concept Association Bias of Vision-Language Models. EMNLP Yingtian Tang, Yutaro Yamada, Yoyo Zhang, Ilker Yildirim
2022	J	`jnl`	Can Wikipedia Help Offline Reinforcement Learning? CoRR Machel Reid, Yutaro Yamada, Shixiang Shane Gu
2022	A*	`conf`	Does Robustness on ImageNet Transfer to Downstream Tasks? CVPR Yutaro Yamada, Mayu Otani
2022	J	`jnl`	Does Robustness on ImageNet Transfer to Downstream Tasks? CoRR Yutaro Yamada, Mayu Otani
2022	J	`jnl`	When are Lemons Purple? The Concept Association Bias of CLIP. CoRR Yutaro Yamada, Yingtian Tang, Ilker Yildirim
2021	J	`jnl`	Support Recovery with Stochastic Gates: Theory and Application for Linear Models. CoRR Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum
2020	A*	`conf`	Feature Selection using Stochastic Gates. ICML Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger
2018	J	`jnl`	Deep supervised feature selection using Stochastic Gates. CoRR Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger
2018	J	`jnl`	Defending against Adversarial Images using Basis Functions Transformations. CoRR Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly P. Stanton, Yuval Kluger
2018	J	`jnl`	Understanding adversarial training: Increasing local stability of supervised models through robust optimization. Neurocomputing Uri Shaham, Yutaro Yamada, Sahand Negahban
2017	—	`conf`	A Deep-Learning-Based Method of Estimating Water Intake. COMPSAC (2) Yutaro Yamada, Takato Saito, Satoshi Kawasaki, Daizo Ikeda, Masaji Katagiri, Masafumi Nishimura, Hiroshi Mineno
2017	—	`conf`	Deep learning-based water-intake estimation method using second half of swallowing sound. GCCE Yutaro Yamada, Masafumi Nishimura, Hiroshi Mineno, Takato Saito, Satoshi Kawasaki, Daizo Ikeda, Masaji Katagiri
2015	J	`jnl`	Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization. CoRR Uri Shaham, Yutaro Yamada, Sahand Negahban