Yuma Matsumoto (D3 at Itoi Lab)’s first-author paper (Yuma Matsumoto, Taro Yaoyama, Sangwon Lee, Takenori Hida, Tatsuya Itoi, ‘Fundamental study on probabilistic generative modeling of earthquake ground motion time histories using generative adversarial networks,’ Japan

Architectural Review Volume 6 (2023): e12392, https://doi.org/10.1002/2475-8876.12392) has received the Best Paper Award 2023 from the Japan Architectural Review (Architectural Institute of Japan).