1 code implementation • 25 Apr 2023 • Yi Huang, Dmitrii Torbunov, Brett Viren, Haiwang Yu, Jin Huang, MeiFeng Lin, Yihui Ren
This issue is prevalent in many scientific domains where algorithms are trained on simulated data but applied to real-world datasets.
2 code implementations • 28 Mar 2023 • Dmitrii Torbunov, Yi Huang, Huan-Hsin Tseng, Haiwang Yu, Jin Huang, Shinjae Yoo, MeiFeng Lin, Brett Viren, Yihui Ren
An unpaired image-to-image (I2I) translation technique seeks to find a mapping between two domains of data in a fully unsupervised manner.
2 code implementations • 4 Mar 2022 • Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, MeiFeng Lin, Brett Viren, Yihui Ren
Unpaired image-to-image translation has broad applications in art, design, and scientific simulations.
no code implementations • 15 Jan 2021 • Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
This research provides a hybrid quantum-classical graph convolutional network (QGCNN) for learning HEP data.
no code implementations • 22 Dec 2020 • Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
This work presents a quantum convolutional neural network (QCNN) for the classification of high energy physics events.