Conformal Block Expansion in Celestial CFT A Atanasov, W Melton, AM Raclariu, A Strominger Physical Review D 104 (12), 126033, 2021 | 74 | 2021 |
Neural networks as kernel learners: The silent alignment effect A Atanasov, B Bordelon, C Pehlevan International Conference on Learning Representations, 2021 | 65 | 2021 |
Scattering and the Celestial Torus A Atanasov, A Ball, W Melton, AM Raclariu, A Strominger Journal of High Energy Physics 2021 (83), 2021 | 64 | 2021 |
Bootstrapping the minimal 3D SCFT A Atanasov, A Hillman, D Poland Journal of High Energy Physics 2018 (11), 1-15, 2018 | 60 | 2018 |
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 | 24 | 2021 |
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 | 22 | 2022 |
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 | 17 | 2022 |
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 | 13 | 2024 |
A dynamical model of neural scaling laws B Bordelon, A Atanasov, C Pehlevan arXiv preprint arXiv:2402.01092, 2024 | 7 | 2024 |
Sparse grid discretizations based on a discontinuous Galerkin method AB Atanasov, E Schnetter arXiv preprint arXiv:1710.09356, 2017 | 4 | 2017 |
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 | 4 | 2017 |
Scaling and renormalization in high-dimensional regression AB Atanasov, JA Zavatone-Veth, C Pehlevan arXiv preprint arXiv:2405.00592, 2024 | 3 | 2024 |
Graded Lie Algebras, Supersymmetry, and Applications A Atanasov Paper consulted in the web page http://abatanasov. com, 2015 | 1 | 2015 |
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 |