Kazuhiro Terao
Identifiers
- name variant Kazuhiro Terao 0.60 · backfill
Papers (17)
- Uncertainty Propagation within Chained Models for Machine Learning Reconstruction of Neutrino-LAr Interactions physics.data-an · 2024 · author #5
- Differentiable Simulation of a Liquid Argon Time Projection Chamber physics.ins-det · 2023 · author #7
- Deep Neural Network Uncertainty Quantification for LArTPC Reconstruction hep-ex · 2023 · author #3
- Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector physics.ins-det · 2022 · author #9
- Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning physics.comp-ph · 2022 · author #2
- An Efficient, Scalable IO Framework for Sparse Data: larcv3 hep-ex · 2022 · author #2
- Data Science and Machine Learning in Education physics.ed-ph · 2022 · author #19
- Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges hep-ex · 2022 · author #10
- Solving Simulation Systematics in and with AI/ML hep-ex · 2022 · author #6
- Adversarial methods to reduce simulation bias in neutrino interaction event filtering at Liquid Argon Time Projection Chambers hep-ex · 2022 · author #4
- Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors hep-ex · 2021 · author #2
- Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers physics.ins-det · 2020 · author #7
- Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data physics.ins-det · 2020 · author #8
- Track Seeding and Labelling with Embedded-space Graph Neural Networks physics.ins-det · 2020 · author #18
- Point Proposal Network for Reconstructing 3D Particle Endpoints with Sub-Pixel Precision in Liquid Argon Time Projection Chambers hep-ex · 2020 · author #7
- PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics physics.ins-det · 2020 · author #2
- Scalable Deep Convolutional Neural Networks for Sparse, Locally Dense Liquid Argon Time Projection Chamber Data hep-ex · 2019 · author #2
Mentions
- 2411.09864 #5 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2302.03787 #3 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2309.04639 #7 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2007.00149 #18 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2211.01505 #9 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2209.07559 #2 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2209.04023 #2 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2207.09060 #19 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2201.11009 #4 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2203.12852 #10 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2203.06112 #6 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2006.14745 #7 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2102.01033 #2 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2007.01335 #8 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 1903.05663 #2 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2007.03083 #7 · arxiv_oai · confidence 0.70 Kazuhiro Terao
- 2006.01993 #2 · arxiv_oai · confidence 0.70 Kazuhiro Terao
Frequent Coauthors
- Dae Heun Koh 5 shared papers
- Ka Vang Tsang 5 shared papers
- Laura Domin\'e 5 shared papers
- Daniel Ratner 3 shared papers
- Pierre C\^ote de Soux 3 shared papers
- Qing Lin 3 shared papers
- Ran Itay 3 shared papers
- Aashwin Mishra 2 shared papers
- Corey Adams 2 shared papers
- Daniel Murnane 2 shared papers
- Fran\c{c}ois Drielsma 2 shared papers
- Francois Drielsma 2 shared papers
- Grigorios Chachamis 2 shared papers
- Javier Duarte 2 shared papers
- Jean-Roch Vlimant 2 shared papers
- Lindsey Gray 2 shared papers
- Mark S. Neubauer 2 shared papers
- Paolo Calafiura 2 shared papers
- Savannah Thais 2 shared papers
- Sean Gasiorowski 2 shared papers