Murnane, Daniel
- Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors
2020/03/25 by X. Ju, Ju, Xiangyang, Steven Farrell +42 · 13 citations
Computer Science · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Advanced Neural Network Applications
- Symmetry Group Equivariant Architectures for Physics
2022/03/11 by Alexander Bogatskiy, Bogatskiy, Alexander, S. Ganguly +19 · 6 citations
Chemistry · Materials Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Molecular spectroscopy and chirality #Quantum many-body systems
- Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
2022/03/23 by S. J. Thais, Thais, Savannah, P. Calafiura +17 · 6 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Parallel Computing and Optimization Techniques
- Track Seeding and Labelling with Embedded-space Graph Neural Networks
2020/06/30 by Nicholas Choma, Choma, Nicholas, Daniel Murnane +34 · 4 citations
Computer Science · Medicine · #Advanced Graph Neural Networks #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Topic Modeling
- Physics Briefing Book: Input for the 2026 update of the European Strategy for Particle Physics
2025/11/05 by Jorge de Blas, Monica Dunford, de Blas, Jorge +257 · 2 voices · 12 citations
Computer Science · Physics and Astronomy · Social Sciences · #Computational Physics and Python Applications #International Science and Diplomacy #Particle physics theoretical and experimental studies #hep-ex
- Equivariant Graph Neural Networks for Charged Particle Tracking
2023/04/11 by Murnane, Daniel, Thais, Savannah, Thete, Ameya · 3 citations
#Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG)
- Learning to Reconstruct Quirky Tracks
2024/09/30 by Sha, Qiyu, Murnane, Daniel, Fieg, Max +4 · 2 citations
#FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph)
- Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks
2023/11/06 by S. J. Thais, Thais, Savannah, Daniel Murnane +1 · 1 citation
Computer Science · Materials Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantum many-body systems