Alert button
Picture for Adam Aurisano

Adam Aurisano

Alert button

University of Cincinnati

NuGraph2: A Graph Neural Network for Neutrino Physics Event Reconstruction

Mar 18, 2024
V Hewes, Adam Aurisano, Giuseppe Cerati, Jim Kowalkowski, Claire Lee, Wei-keng Liao, Daniel Grzenda, Kaushal Gumpula, Xiaohe Zhang

Viaarxiv icon

Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks

Dec 06, 2022
Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano, Lorena Escudero Sanchez

Figure 1 for Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks
Figure 2 for Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks
Figure 3 for Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks
Figure 4 for Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks
Viaarxiv icon

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline

Mar 11, 2021
Xiangyang Ju, Daniel Murnane, Paolo Calafiura, Nicholas Choma, Sean Conlon, Steve 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, Alex Ballow, and Alina Lazar

Figure 1 for Physics and Computing Performance of the Exa.TrkX TrackML Pipeline
Figure 2 for Physics and Computing Performance of the Exa.TrkX TrackML Pipeline
Figure 3 for Physics and Computing Performance of the Exa.TrkX TrackML Pipeline
Figure 4 for Physics and Computing Performance of the Exa.TrkX TrackML Pipeline
Viaarxiv icon

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

Figure 1 for Track Seeding and Labelling with Embedded-space Graph Neural Networks
Figure 2 for Track Seeding and Labelling with Embedded-space Graph Neural Networks
Figure 3 for Track Seeding and Labelling with Embedded-space Graph Neural Networks
Figure 4 for Track Seeding and Labelling with Embedded-space Graph Neural Networks
Viaarxiv icon

Machine Learning in High Energy Physics Community White Paper

Jul 08, 2018
Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemysław Karpiński, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark Neubauer, Harvey Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Stewart, Bob Stienen, Ian Stockdale, Giles Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata

Figure 1 for Machine Learning in High Energy Physics Community White Paper
Figure 2 for Machine Learning in High Energy Physics Community White Paper
Figure 3 for Machine Learning in High Energy Physics Community White Paper
Viaarxiv icon