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Picture for Kazuhiro Terao

Kazuhiro Terao

for the DeepLearnPhysics Collaboration

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


Nov 02, 2022
Minjie Lei, Ka Vang Tsang, Sean Gasiorowski, Chuan Li, Youssef Nashed, Gianluca Petrillo, Olivia Piazza, Daniel Ratner, Kazuhiro Terao


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Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning


Sep 15, 2022
Phiala Shanahan, Kazuhiro Terao, Daniel Whiteson

* Contribution to Snowmass 2021 

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Data Science and Machine Learning in Education


Jul 19, 2022
Gabriele Benelli, Thomas Y. Chen, Javier Duarte, Matthew Feickert, Matthew Graham, Lindsey Gray, Dan Hackett, Phil 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

* Contribution to Snowmass 2021 

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


Mar 25, 2022
Savannah Thais, Paolo Calafiura, Grigorios Chachamis, Gage DeZoort, Javier Duarte, Sanmay Ganguly, Michael Kagan, Daniel Murnane, Mark S. Neubauer, Kazuhiro Terao

* contribution to Snowmass 2021 

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


Feb 01, 2021
Francois Drielsma, Kazuhiro Terao, Laura Dominé, Dae Heun Koh

* Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Vancouver, Canada 

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


Jul 10, 2020
Laura Dominé, Pierre Côte de Soux, François Drielsma, Dae Heun Koh, Ran Itay, Qing Lin, Kazuhiro Terao, Ka Vang Tsang, Tracy L. Usher

* Phys. Rev. D 102, 012005 (2020) 

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


Jul 06, 2020
Dae Heun Koh, Pierre Côte de Soux, Laura Dominé, François Drielsma, Ran Itay, Qing Lin, Kazuhiro Terao, Ka Vang Tsang, Tracy Usher


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


Jul 02, 2020
Francois 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


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Track Seeding and Labelling with Embedded-space Graph Neural Networks


Jun 30, 2020
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 Usher

* Proceedings submission in Connecting the Dots Workshop 2020, 10 pages 

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


Jun 26, 2020
Laura Dominé, Kazuhiro Terao


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