Daniel Murnane

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Laplace Beltrami

Particle Physics

Top Venues

Publications

Daniel Murnane
Graph Structure from Point Clouds: Geometric Attention is All You Need. CoRR (2023)
Savannah Thais, Daniel Murnane
Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks. CoRR (2023)
Daniel Murnane, Savannah Thais, Ameya Thete
Equivariant Graph Neural Networks for Charged Particle Tracking. CoRR (2023)
Xiangyang Ju, Yunsong Wang, Daniel Murnane, Nicholas Choma, Steven Farrell, Paolo Calafiura
Benchmarking GPU and TPU Performance with Graph Neural Networks. CoRR (2022)
Daniel Murnane, Savannah Thais, Jason Wong
Semi-Equivariant GNN Architectures for Jet Tagging. CoRR (2022)
Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, David W. Miller, Daniel Murnane, Jan T. Offermann, Mariel Pettee, Phiala Shanahan, Chase Shimmin, Savannah Thais
Symmetry Group Equivariant Architectures for Physics. CoRR (2022)
Savannah Thais, Paolo Calafiura, Grigorios Chachamis, Gage DeZoort, Javier M. Duarte, Sanmay Ganguly, Michael Kagan, Daniel Murnane, Mark S. Neubauer, Kazuhiro Terao
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges. CoRR (2022)
Xiangyang Ju, Daniel Murnane, Paolo Calafiura, Nicholas Choma, Sean Conlon, Steven Farrell, Yaoyuan Xu, Maria Spiropulu, Jean-Roch Vlimant, Adam Aurisano, Jeremy Hewes, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Markus Atkinson, Mark Neubauer, Gage DeZoort, Savannah Thais, Aditi Chauhan, Alex Schuy, Shih-Chieh Hsu, Alexandra Ballow, Alina Lazar
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. CoRR (2021)
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
Track Seeding and Labelling with Embedded-space Graph Neural Networks. CoRR (2020)