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Alexander Atanasov
Alexander Atanasov
PhD Student, Harvard University
Verified email at g.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Conformal Block Expansion in Celestial CFT
A Atanasov, W Melton, AM Raclariu, A Strominger
Physical Review D 104 (12), 126033, 2021
682021
Bootstrapping the minimal 3D SCFT
A Atanasov, A Hillman, D Poland
Journal of High Energy Physics 2018 (11), 1-15, 2018
582018
Scattering and the Celestial Torus
A Atanasov, A Ball, W Melton, AM Raclariu, A Strominger
Journal of High Energy Physics 2021 (83), 2021
562021
Neural networks as kernel learners: The silent alignment effect
A Atanasov, B Bordelon, C Pehlevan
International Conference on Learning Representations, 2021
522021
Psychrnn: An accessible and flexible python package for training recurrent neural network models on cognitive tasks
DB Ehrlich, JT Stone, D Brandfonbrener, A Atanasov, JD Murray
eneuro 8 (1), 2021
242021
Precision bootstrap for the = 1 super-Ising model
A Atanasov, A Hillman, D Poland, J Rong, N Su
Journal of High Energy Physics 2022 (8), 1-30, 2022
172022
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
A Atanasov, B Bordelon, S Sainathan, C Pehlevan
International Conference on Learning Representations, 2022
122022
Feature-learning networks are consistent across widths at realistic scales
N Vyas, A Atanasov, B Bordelon, D Morwani, S Sainathan, C Pehlevan
Advances in Neural Information Processing Systems 36, 2024
72024
Sparse grid discretizations based on a discontinuous Galerkin method
AB Atanasov, E Schnetter
arXiv preprint arXiv:1710.09356, 2017
42017
Simple, accurate electrostatics-based formulas for calculating ionization potentials, electron affinities, and capacitances of fullerenes
AB Atanasov, JC Ellenbogen
Physical Review A 95 (3), 032508, 2017
42017
Graded Lie Algebras, Supersymmetry, and Applications
A Atanasov
Paper consulted in the web page http://abatanasov. com, 2015
12015
A Dynamical Model of Neural Scaling Laws
B Bordelon, A Atanasov, C Pehlevan
arXiv preprint arXiv:2402.01092, 2024
2024
The Onset of Variance-Limited Behavior for Neural Networks at Finite Width and Sample Size.
A Atanasov, C Pehlevan, B Bordelon, S Sainathan
APS March Meeting Abstracts 2023, D02. 003, 2023
2023
When are Neural Networks Kernel Learners?
A Atanasov, B Bordelon, C Pehlevan
APS March Meeting Abstracts 2022, F03. 002, 2022
2022
Magnetic Monopoles, `t Hooft Lines, and the Geometric Langlands Correspondence
AB Atanasov
Senior Thesis, 2018
2018
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Articles 1–15