Yutaro Yamada

According to our database, Yutaro Yamada authored at least 28 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Forecasting Scientific Progress with Artificial Intelligence.

Sean Wu, Pan Lu, Yupeng Chen, Jonathan Bragg, Yutaro Yamada, Peter Clark, David A. Clifton, Philip Torr, James Zou, Junchi Yu

CoRR, May, 2026

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient.

Yutaro Yamada, Kento Uchida, Shinichi Shirakawa

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2026

2025

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

Yutaro Yamada, Robert Tjarko Lange, Cong Lu, Shengran Hu, Chris Lu, Jakob N. Foerster, Jeff Clune, David Ha

CoRR, April, 2025

IST-ROS: A flexible object segmentation and tracking framework for robotics applications.

Khusniddin Fozilov, Yutaro Yamada, Jacinto Colan, Yaonan Zhu, Yasuhisa Hasegawa

SoftwareX, 2025

Human-Robot collaboration in surgery: Advances and challenges towards autonomous surgical assistants.

Jacinto Colan, Ana Davila, Yutaro Yamada, Yasuhisa Hasegawa

Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication, 2025

L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects.

Yutaro Yamada, Khyathi Raghavi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective Dimensionality.

Haruhito Nakagawa, Yutaro Yamada, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024

Multimodal semi-supervised learning for online recognition of multi-granularity surgical workflows.

Yutaro Yamada, Jacinto Colan, Ana Davila, Yasuhisa Hasegawa

Int. J. Comput. Assist. Radiol. Surg., June, 2024

Three-Dimensional Reconstruction Pre-Training as a Prior to Improve Robustness to Adversarial Attacks and Spurious Correlation.

Yutaro Yamada, Fred Weiying Zhang, Yuval Kluger, Ilker Yildirim

Entropy, March, 2024

Evaluating Spatial Understanding of Large Language Models.

Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai, Ilker Yildirim

Trans. Mach. Learn. Res., 2024

Embedded Image-to-Image Translation for Efficient Sim-to-Real Transfer in Learning-based Robot-Assisted Soft Manipulation.

Jacinto Colan, Keisuke Sugita, Ana Davila, Yutaro Yamada, Yasuhisa Hasegawa

CoRR, 2024

Task segmentation based on transition state clustering for surgical robot assistance.

Yutaro Yamada, Jacinto Colan, Ana Davila, Yasuhisa Hasegawa

CoRR, 2024

How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions.

Yutaro Yamada, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Support recovery with Projected Stochastic Gates: Theory and application for linear models.

Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum

Signal Process., December, 2023

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations.

Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev

CoRR, 2023

Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions.

Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

When are Lemons Purple? The Concept Association Bias of Vision-Language Models.

Yingtian Tang, Yutaro Yamada, Yoyo Zhang, Ilker Yildirim

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

When are Lemons Purple? The Concept Association Bias of CLIP.

Yutaro Yamada, Yingtian Tang, Ilker Yildirim

CoRR, 2022

Can Wikipedia Help Offline Reinforcement Learning?

Machel Reid, Yutaro Yamada, Shixiang Shane Gu

CoRR, 2022

Does Robustness on ImageNet Transfer to Downstream Tasks?

Yutaro Yamada, Mayu Otani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Support Recovery with Stochastic Gates: Theory and Application for Linear Models.

Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum

CoRR, 2021

2020

Feature Selection using Stochastic Gates.

Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Understanding adversarial training: Increasing local stability of supervised models through robust optimization.

Uri Shaham, Yutaro Yamada, Sahand Negahban

Neurocomputing, 2018

Deep supervised feature selection using Stochastic Gates.

Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger

CoRR, 2018

Defending against Adversarial Images using Basis Functions Transformations.

Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly P. Stanton, Yuval Kluger

CoRR, 2018

2017

Deep learning-based water-intake estimation method using second half of swallowing sound.

Yutaro Yamada, Masafumi Nishimura, Hiroshi Mineno, Takato Saito, Satoshi Kawasaki, Daizo Ikeda, Masaji Katagiri

Proceedings of the IEEE 6th Global Conference on Consumer Electronics, 2017

A Deep-Learning-Based Method of Estimating Water Intake.

Yutaro Yamada, Takato Saito, Satoshi Kawasaki, Daizo Ikeda, Masaji Katagiri, Masafumi Nishimura, Hiroshi Mineno

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2015

Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization.

Uri Shaham, Yutaro Yamada, Sahand Negahban

CoRR, 2015