ML4SCI Google Summer of Code publications
Introduction
The work of our students is published in scientific papers.
List of publications
| Andrews M, Burkle B, Chen YF, DiCroce D, Gleyzer S, Heintz U, Narain M, Paulini M, Pervan N, Shafi Y, Sun W. "End-to-end jet classification of boosted top quarks with the CMS open data". Physical Review D. 2022 Mar 22;105(5):052008. |
| Hariri A, Dyachkova D, Gleyzer S. "Graph generative models for fast detector simulations in high energy physics". arXiv preprint arXiv:2104.01725. 2021 Apr 5. |
| Alnuqaydan A, Gleyzer S, Prosper H. "SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning". Machine Learning: Science and Technology. 2022 Jun 17. |
| Alexander S, Gleyzer S, Reddy P, Tidball M, Toomey MW. "Domain Adaptation for Simulation-Based Dark Matter Searches Using Strong Gravitational Lensing". arXiv preprint arXiv:2112.12121. 2021 Dec 22. |
| Alexander S, Gleyzer S, McDonough E, Toomey MW, Usai E. "Deep learning the morphology of dark matter substructure". The Astrophysical Journal. 2020 Apr 8;893(1):15. |
| Alexander S, Gleyzer S, Parul H, Reddy P, Toomey MW, Usai E, Von Klar R. "Decoding dark matter substructure without supervision". arXiv preprint arXiv:2008.12731. 2020 Aug 28. |
| Terry JP, Hall C, Abreau S, Gleyzer S. "Locating Hidden Exoplanets in ALMA Data Using Machine Learning". The Astrophysical Journal. 2022 Dec 23;941(2):192. |
| Terry JP, Hall C, Abreau S, Gleyzer S. "Kinematic Evidence of an Embedded Protoplanet in HD 142666 Identified by Machine Learning". arXiv preprint arXiv:2301.05075. 2023 Jan 12. |
| Rao A, Carr S, Snider C, Feldman DE, Ramanathan C, Mitrović VF. "Machine learning assisted determination of electronic correlations from magnetic resonance". arXiv preprint arXiv:2212.01946. 2022 Dec 4. |
Contacts
ML4SCI GSoC Admins ml4-sci@cern.ch