Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization. - Uri Shaham 001; Yutaro Yamada; Sahand Negahban (CoRR, 2015)

A Deep-Learning-Based Method of Estimating Water Intake. - Yutaro Yamada; Takato Saito; Satoshi Kawasaki; Daizo Ikeda; Masaji Katagiri; Masafumi Nishimura; Hiroshi Mineno (COMPSAC (2), 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 (GCCE, 2017)

Defending against Adversarial Images using Basis Functions Transformations. - Uri Shaham 001; James Garritano; Yutaro Yamada; Ethan Weinberger; Alex Cloninger; Xiuyuan Cheng; Kelly P. Stanton; Yuval Kluger (CoRR, 2018)

Deep supervised feature selection using Stochastic Gates. - Yutaro Yamada; Ofir Lindenbaum; Sahand Negahban; Yuval Kluger (CoRR, 2018)

Understanding adversarial training: Increasing local stability of supervised models through robust optimization. - Uri Shaham 001; Yutaro Yamada; Sahand Negahban (Neurocomputing, 2018)

Feature Selection using Stochastic Gates. - Yutaro Yamada; Ofir Lindenbaum; Sahand Negahban; Yuval Kluger (ICML, 2020)

Support Recovery with Stochastic Gates: Theory and Application for Linear Models. - Soham Jana; Henry Li; Yutaro Yamada; Ofir Lindenbaum (CoRR, 2021)

Does Robustness on ImageNet Transfer to Downstream Tasks? - Yutaro Yamada; Mayu Otani (CVPR, 2022)

Can Wikipedia Help Offline Reinforcement Learning? - Machel Reid; Yutaro Yamada; Shixiang Shane Gu (CoRR, 2022)

When are Lemons Purple? The Concept Association Bias of CLIP. - Yutaro Yamada; Yingtian Tang; Ilker Yildirim (CoRR, 2022)

When are Lemons Purple? The Concept Association Bias of Vision-Language Models. - Yingtian Tang; Yutaro Yamada; Yoyo Zhang; Ilker Yildirim (EMNLP, 2023)

Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. - Yutaro Yamada; Kento Uchida; Shota Saito; Shinichi Shirakawa (EvoApplications@EvoStar, 2023)

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. - Jungo Kasai; Yuhei Kasai; Keisuke Sakaguchi; Yutaro Yamada; Dragomir Radev (CoRR, 2023)

Support recovery with Projected Stochastic Gates: Theory and application for linear models. - Soham Jana; Henry Li; Yutaro Yamada; Ofir Lindenbaum (Signal Process., 2023)

How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. - Yutaro Yamada; Kento Uchida; Shinichi Shirakawa (GECCO Companion, 2024)

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 001 (CoRR, 2024)

Task segmentation based on transition state clustering for surgical robot assistance. - Yutaro Yamada; Jacinto Colan; Ana Davila; Yasuhisa Hasegawa (CoRR, 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)

Evaluating Spatial Understanding of Large Language Models. - Yutaro Yamada; Yihan Bao; Andrew Kyle Lampinen; Jungo Kasai; Ilker Yildirim (Trans. Mach. Learn. Res., 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, 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., 2024)

IST-ROS: A flexible object segmentation and tracking framework for robotics applications. - Khusniddin Fozilov; Yutaro Yamada; Jacinto Colan; Yaonan Zhu; Yasuhisa Hasegawa (SoftwareX, 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 001; Jakob N. Foerster; Jeff Clune; David Ha (CoRR, 2025)

Human-Robot collaboration in surgery: Advances and challenges towards autonomous surgical assistants. - Jacinto Colan; Ana Davila; Yutaro Yamada; Yasuhisa Hasegawa (CoRR, 2025)