Kazuhiro Terao

According to our database, Kazuhiro Terao authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Differentiable simulation of a liquid argon time projection chamber.

Sean Gasiorowski, Yifan Chen, Youssef S. G. Nashed, Pierre Granger, Camelia Mironov, Ka Vang Tsang, Daniel Ratner, Kazuhiro Terao

Mach. Learn. Sci. Technol., 2024

2022

Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector.

Minjie Lei, Ka Vang Tsang, Sean Gasiorowski, Chuan Li, Youssef S. G. Nashed, Gianluca Petrillo, Olivia Piazza, Daniel Ratner, Kazuhiro Terao

CoRR, 2022

Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning.

Phiala E. Shanahan, Kazuhiro Terao, Daniel Whiteson

CoRR, 2022

Data Science and Machine Learning in Education.

Gabriele Benelli, Thomas Y. Chen, Javier M. Duarte, Matthew Feickert, Matthew J. Graham, Lindsey Gray, Dan Hackett, Philip C. Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais, Avik Roy, Jean-Roch Vlimant, Grigorios Chachamis

CoRR, 2022

Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges.

Savannah Thais, Paolo Calafiura, Grigorios Chachamis, Gage DeZoort, Javier M. Duarte, Sanmay Ganguly, Michael Kagan, Daniel Murnane, Mark S. Neubauer, Kazuhiro Terao

CoRR, 2022

Artificial Intelligence for High Energy Physics

Paolo Calafiura, David Rousseau, Kazuhiro Terao

WorldScientific, ISBN: 9789811234040, 2022

2021

Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors.

François Drielsma, Kazuhiro Terao, Laura Dominé, Dae Heun Koh

CoRR, 2021

2020

Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers.

Dae Heun Koh, Pierre Côte de Soux, Laura Dominé, François Drielsma, Ran Itay, Qing Lin, Kazuhiro Terao, Ka Vang Tsang, Tracy L. Usher

CoRR, 2020

Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data.

François Drielsma, Qing Lin, Pierre Côte de Soux, Laura Dominé, Ran Itay, Dae Heun Koh, Bradley J. Nelson, Kazuhiro Terao, Ka Vang Tsang, Tracy L. Usher

CoRR, 2020

Track Seeding and Labelling with Embedded-space Graph Neural Networks.

Nicholas Choma, Daniel Murnane, Xiangyang Ju, Paolo Calafiura, Sean Conlon, Steven Farrell, Prabhat, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Panagiotis Spentzouris, Jean-Roch Vlimant, Maria Spiropulu, Adam Aurisano, Jeremy Hewes, Aristeidis Tsaris, Kazuhiro Terao, Tracy L. Usher

CoRR, 2020

Point Proposal Network for Reconstructing 3D Particle Positions with Sub-Pixel Precision in Liquid Argon Time Projection Chambers.

Laura Dominé, Kazuhiro Terao

CoRR, 2020

PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics.

Corey Adams, Kazuhiro Terao, Taritree Wongjirad

CoRR, 2020

2019

Scalable Deep Convolutional Neural Networks for Sparse, Locally Dense Liquid Argon Time Projection Chamber Data.

Laura Dominé, Kazuhiro Terao

CoRR, 2019

2018

Machine learning at the energy and intensity frontiers of particle physics.

Alexander Radovic, Mike Williams, David Rousseau, Michael Kagan, Daniele Bonacorsi, Alexander Himmel, Adam Aurisano, Kazuhiro Terao, Taritree Wongjirad

Nat., 2018