Learning representations of irregular particle-detector geometry with distance-weighted graph networks. - Shah Rukh Qasim; Jan Kieseler; Yutaro Iiyama; Maurizio Pierini (CoRR, 2019)

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. - Yutaro Iiyama; Gianluca Cerminara; Abhijay Gupta; Jan Kieseler; Vladimir Loncar; Maurizio Pierini; Shah Rukh Qasim; Marcel Rieger; Sioni Summers; Gerrit Van Onsem; Kinga Anna Wozniak; Jennifer Ngadiuba; et al. (Frontiers Big Data, 2020)

Fast convolutional neural networks on FPGAs with hls4ml. - Thea Aarrestad; Vladimir Loncar; Maurizio Pierini; Sioni Summers; Jennifer Ngadiuba; Christoffer Petersson; Hampus Linander; Yutaro Iiyama; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Dylan S. Rankin; et al. (CoRR, 2021)

An Improvement of Object Detection Performance using Multi-step Machine Learnings. - Tomoe Kishimoto; Masahiko Saito; Junichi Tanaka; Yutaro Iiyama; Ryu Sawada; Koji Terashi (CoRR, 2021)

Event Classification with Multi-step Machine Learning. - Masahiko Saito; Tomoe Kishimoto; Yuya Kaneta; Taichi Itoh; Yoshiaki Umeda; Junichi Tanaka; Yutaro Iiyama; Ryu Sawada; Koji Terashi (CoRR, 2021)

Dynamo: Handling Scientific Data Across Sites and Storage Media. - Yutaro Iiyama; Benedikt Maier; Daniel Abercrombie; Maxim Goncharov; Christoph Paus (Comput. Softw. Big Sci., 2021)

Fast convolutional neural networks on FPGAs with hls4ml. - Thea Aarrestad; Vladimir Loncar; Nicolò Ghielmetti; Maurizio Pierini; Sioni Summers; Jennifer Ngadiuba; Christoffer Petersson; Hampus Linander; Yutaro Iiyama; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; et al. (Mach. Learn. Sci. Technol., 2021)

Stable Toffoli Gate on Fixed-Frequency Superconducting Qutrits. - Wonho Jang; Yutaro Iiyama; Naoki Kanazawa; Toshiaki Inada; Ryu Sawada; Tamiya Onodera; Koji Terashi (QCE, 2022)

Initial-State Dependent Optimization of Controlled Gate Operations with Quantum Computer. - Wonho Jang; Koji Terashi; Masahiko Saito; Christian W. Bauer; Benjamin Nachman; Yutaro Iiyama; Ryunosuke Okubo; Ryu Sawada (Quantum, 2022)

Fast numerical generation of Lie closure. - Yutaro Iiyama (CoRR, 2025)