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Alexander Bogatskiy
Alexander Bogatskiy
Flatiron Institute
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Lorentz group equivariant neural network for particle physics
A Bogatskiy, B Anderson, J Offermann, M Roussi, D Miller, R Kondor
International Conference on Machine Learning, 992-1002, 2020
1392020
Hankel determinant and orthogonal polynomials for a Gaussian weight with a discontinuity at the edge
A Bogatskiy, T Claeys, A Its
Communications in Mathematical Physics 347, 127-162, 2016
442016
Edge wave and boundary layer of vortex matter
A Bogatskiy, P Wiegmann
Physical review letters 122 (21), 214505, 2019
362019
A geometric model of growth for cubic crystals: Diamond
A Bogatskiy, JE Butler
Diamond and Related Materials 53, 58-65, 2015
282015
Symmetry group equivariant architectures for physics
A Bogatskiy, S Ganguly, T Kipf, R Kondor, DW Miller, D Murnane, ...
arXiv preprint arXiv:2203.06153, 2022
232022
PELICAN: permutation equivariant and Lorentz invariant or covariant aggregator network for particle physics
A Bogatskiy, T Hoffman, DW Miller, JT Offermann
arXiv preprint arXiv:2211.00454, 2022
142022
Explainable equivariant neural networks for particle physics: PELICAN
A Bogatskiy, T Hoffman, DW Miller, JT Offermann, X Liu
Journal of High Energy Physics 2024 (3), 1-66, 2024
12*2024
Vortex flows on closed surfaces
A Bogatskiy
Journal of Physics A: Mathematical and Theoretical 52 (47), 475501, 2019
122019
Symmetry Group Equivariant Architectures for Physics, In 2022 Snowmass Summer Study (2022)
A Bogatskiy
arXiv preprint arXiv:2203.06153, 0
5
19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics
A Bogatskiy, T Hoffman, JT Offermann
arXiv preprint arXiv:2310.16121, 2023
2023
Equivariant Neural Networks for Particle Physics: PELICAN
A Bogatskiy
APS April Meeting Abstracts 2023, D04. 003, 2023
2023
arXiv: Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning
P Shanahan, O Amram, JF Kamenik, A Matevc, A Gandrakota, B Lucini, ...
2022
Snowmass2021–Letter of Interest
A Bogatskiy, DW Miller, JT Offermann, R Kondor
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