Yutaro Iiyama

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 11

Top Topics

Machine Learning

Tumor Classification

Top Venues

Mach. Learn. Sci. Technol.

Frontiers Big Data

Publications

Wonho Jang, Koji Terashi, Masahiko Saito, Christian W. Bauer, Benjamin Nachman, Yutaro Iiyama, Ryunosuke Okubo, Ryu Sawada
Initial-State Dependent Optimization of Controlled Gate Operations with Quantum Computer. Quantum 6 (2022)
Wonho Jang, Yutaro Iiyama, Naoki Kanazawa, Toshiaki Inada, Ryu Sawada, Tamiya Onodera, Koji Terashi
Stable Toffoli Gate on Fixed-Frequency Superconducting Qutrits. QCE (2022)
Yutaro Iiyama, Benedikt Maier, Daniel Abercrombie, Maxim Goncharov, Christoph Paus
Dynamo: Handling Scientific Data Across Sites and Storage Media. Comput. Softw. Big Sci. 5 (1) (2021)
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, Dylan S. Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang
Fast convolutional neural networks on FPGAs with hls4ml. Mach. Learn. Sci. Technol. 2 (4) (2021)
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, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang
Fast convolutional neural networks on FPGAs with hls4ml. CoRR (2021)
Tomoe Kishimoto, Masahiko Saito, Junichi Tanaka, Yutaro Iiyama, Ryu Sawada, Koji Terashi
An Improvement of Object Detection Performance using Multi-step Machine Learnings. CoRR (2021)
Masahiko Saito, Tomoe Kishimoto, Yuya Kaneta, Taichi Itoh, Yoshiaki Umeda, Junichi Tanaka, Yutaro Iiyama, Ryu Sawada, Koji Terashi
Event Classification with Multi-step Machine Learning. CoRR (2021)
Yutaro Iiyama, Benedikt Maier, Daniel Abercrombie, Maxim Goncharov, Christoph Paus
Dynamo - Handling Scientific Data Across Sites and Storage Media. CoRR (2020)
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, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. CoRR (2020)
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, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. Frontiers Big Data 3 (2020)
Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini
Learning representations of irregular particle-detector geometry with distance-weighted graph networks. CoRR (2019)