Continual Learning via Neural Pruning S Golkar, M Kagan, K Cho NeurIPS 2019 Workshop on Real Neurons & Hidden Units, 2019 | 153 | 2019 |
(Non)-renormalization of the chiral vortical effect coefficient S Golkar, DT Son Journal of High Energy Physics 2015 (2), 169, 2015 | 106 | 2015 |
Higher-spin theory of the magnetorotons S Golkar, DX Nguyen, MM Roberts, DT Son Physical review letters 117 (21), 216403, 2016 | 63 | 2016 |
Spectral sum rules and magneto-roton as emergent graviton in fractional quantum Hall effect S Golkar, DX Nguyen, DT Son Journal of High Energy Physics 2016 (1), 1-15, 2016 | 61 | 2016 |
Global anomalies and effective field theory S Golkar, S Sethi Journal of High Energy Physics 2016 (5), 1-20, 2016 | 59 | 2016 |
Particle-hole symmetry and composite fermions in fractional quantum Hall states DX Nguyen, S Golkar, MM Roberts, DT Son Physical Review B 97 (19), 195314, 2018 | 36 | 2018 |
Operator product expansion and conservation laws in non-relativistic conformal field theories S Golkar, DT Son Journal of High Energy Physics 2014 (12), 1-11, 2014 | 36 | 2014 |
Effective field theory of relativistic quantum Hall systems S Golkar, MM Roberts, DT Son Journal of High Energy Physics 2014 (12), 1-10, 2014 | 29 | 2014 |
The Euler current and relativistic parity odd transport S Golkar, MM Roberts, DT Son Journal of High Energy Physics 2015 (4), 1-22, 2015 | 26* | 2015 |
A biologically plausible neural network for multichannel canonical correlation analysis D Lipshutz, Y Bahroun, S Golkar, AM Sengupta, DB Chklovskii Neural Computation 33 (9), 2309-2352, 2021 | 23 | 2021 |
Multiple physics pretraining for physical surrogate models M McCabe, BRS Blancard, LH Parker, R Ohana, M Cranmer, A Bietti, ... arXiv preprint arXiv:2310.02994, 2023 | 22 | 2023 |
A simple normative network approximates local non-Hebbian learning in the cortex S Golkar, D Lipshutz, Y Bahroun, A Sengupta, D Chklovskii Advances in neural information processing systems 33, 7283-7295, 2020 | 20 | 2020 |
xVal: A continuous number encoding for large language models S Golkar, M Pettee, M Eickenberg, A Bietti, M Cranmer, G Krawezik, ... arXiv preprint arXiv:2310.02989, 2023 | 19 | 2023 |
Hall viscosity, spin density, and torsion M Geracie, S Golkar, MM Roberts arXiv preprint arXiv:1410.2574, 2014 | 19 | 2014 |
A biologically plausible neural network for Slow Feature Analysis D Lipshutz, C Windolf, S Golkar, DB Chklovskii Advances in Neural Information Processing Systems 33, 2020 | 18 | 2020 |
Constrained predictive coding as a biologically plausible model of the cortical hierarchy S Golkar, T Tesileanu, Y Bahroun, A Sengupta, D Chklovskii Advances in Neural Information Processing Systems 35, 14155-14169, 2022 | 14 | 2022 |
Inferring the quantum density matrix with machine learning K Cranmer, S Golkar, D Pappadopulo ICML 2019 Workshop on Theoretical Physics for Deep Learning, 2019 | 13 | 2019 |
Neural optimal feedback control with local learning rules J Friedrich, S Golkar, S Farashahi, A Genkin, A Sengupta, D Chklovskii Advances in Neural Information Processing Systems 34, 16358-16370, 2021 | 11 | 2021 |
Conformal windows of SP (2N) and SO (N) gauge theories from topological excitations on ℝ3× S1 S Golkar Journal of High Energy Physics 2009 (11), 076, 2009 | 11 | 2009 |
Astroclip: Cross-modal pre-training for astronomical foundation models F Lanusse, L Parker, S Golkar, M Cranmer, A Bietti, M Eickenberg, ... arXiv preprint arXiv:2310.03024, 2023 | 7 | 2023 |