Artificial Intelligence/Machine Learning and Quantum Information for Particle Physics
INVITED · APR-W75 · ID: 3622451
Presentations
-
AI advances in theoretical high-energy physics
ORAL · Invited
–
Publication: K. T. Matchev, A. Roman and P. Shyamsundar, ``Uncertainties associated with GAN-generated datasets in high energy physics,''
SciPost Phys. 12, no.3, 104 (2022) doi:10.21468/SciPostPhys.12.3.104 [arXiv:2002.06307 [hep-ph]].
D. Kim, K. Kong, K. T. Matchev, M. Park and P. Shyamsundar, ``Deep-learned event variables for collider phenomenology,''
Phys. Rev. D 107, no.3, L031904 (2023) doi:10.1103/PhysRevD.107.L031904 [arXiv:2105.10126 [hep-ph]].
Z. Dong, K. Kong, K. T. Matchev and K. Matcheva, ``Is the machine smarter than the theorist: Deriving formulas for particle kinematics with symbolic regression,'' Phys. Rev. D 107, no.5, 055018 (2023) doi:10.1103/PhysRevD.107.055018 [arXiv:2211.08420 [hep-ph]].
R. T. Forestano, K. T. Matchev, K. Matcheva, A. Roman, E. B. Unlu and S. Verner, ``Deep learning symmetries and their Lie groups, algebras, and subalgebras from first principles,'' Mach. Learn. Sci. Tech. 4, no.2, 025027 (2023) doi:10.1088/2632-2153/acd989 [arXiv:2301.05638 [hep-ph]].
A. Roman, R. T. Forestano, K. T. Matchev, K. Matcheva and E. B. Unlu, ``Oracle-Preserving Latent Flows,'' [arXiv:2302.00806 [cs.LG]].
R. T. Forestano, K. T. Matchev, K. Matcheva, A. Roman, E. B. Unlu and S. Verner, ``Discovering sparse representations of Lie groups with machine learning,'' Phys. Lett. B 844, 138086 (2023) doi:10.1016/j.physletb.2023.138086 [arXiv:2302.05383 [hep-ph]].
R. T. Forestano, K. T. Matchev, K. Matcheva, A. Roman, E. B. Unlu and S. Verner, ``Accelerated discovery of machine-learned symmetries: Deriving the exceptional Lie groups G2, F4 and E6,'' Phys. Lett. B 847, 138266 (2023) doi:10.1016/j.physletb.2023.138266 [arXiv:2307.04891 [hep-th]].
R. T. Forestano, K. T. Matchev, K. Matcheva, A. Roman, E. B. Unlu and S. Verner, ``Identifying the group-theoretic structure of machine-learned symmetries,'' Phys. Lett. B 847, 138306 (2023) doi:10.1016/j.physletb.2023.138306 [arXiv:2309.07860 [hep-ph]].
K. T. Matchev, K. Matcheva, P. Ramond and S. Verner, ``Exploring the truth and beauty of theory landscapes with machine learning,''
Phys. Lett. B \textbf{856}, 138941 (2024) doi:10.1016/j.physletb.2024.138941 [arXiv:2401.11513 [hep-ph]].Presenters
-
Konstantin T Matchev
- University of Florida
- University of Alabama
Authors
-
Konstantin T Matchev
- University of Florida
- University of Alabama
-
-
Opportunities in AI/ML for Particle Physics
ORAL · Invited
–
Presenters
-
Philip C Harris
- MIT
- Massachusetts Institute of Technology
Authors
-
Philip C Harris
- MIT
- Massachusetts Institute of Technology
-
-
Progress on Solving the Quasi-Particle Poisoning Background Mystery to Bring About the Quantum Sensing Revolution
ORAL · Invited
–
Presenters
-
Matt Pyle
- University of California, Berkeley
Authors
-
Matt Pyle
- University of California, Berkeley
-