Hyperfine structure of the state and predictions of optical cycling behavior in the transition of TlF EB Norrgard, ER Edwards, DJ McCarron, MH Steinecker, D DeMille, ... Physical Review A 95 (6), 062506, 2017 | 60 | 2017 |
Whitening and second order optimization both make information in the dataset unusable during training, and can reduce or prevent generalization N Wadia, D Duckworth, SS Schoenholz, E Dyer, J Sohl-Dickstein International Conference on Machine Learning, 10617-10629, 2021 | 20* | 2021 |
Solution to the Fokker-Planck equation for slowly driven Brownian motion: Emergent geometry and a formula for the corresponding thermodynamic metric NS Wadia, RV Zarcone, MR DeWeese Physical Review E 105 (3), 034130, 2022 | 12 | 2022 |
Numerically recovering the critical points of a deep linear autoencoder CG Frye, NS Wadia, MR DeWeese, KE Bouchard arXiv preprint arXiv:1901.10603, 2019 | 9 | 2019 |
Critical point-finding methods reveal gradient-flat regions of deep network losses CG Frye, J Simon, NS Wadia, A Ligeralde, MR DeWeese, KE Bouchard Neural computation 33 (6), 1469-1497, 2021 | 8 | 2021 |
Optimization with Adaptive Step Size Selection from a Dynamical Systems Perspective NS Wadia, MI Jordan, M Muehlebach Advances in Neural Information Processing Systems, OPT2021 Workshop, 2021 | 2 | 2021 |
A Gentle Introduction to Gradient-Based Optimization and Variational Inequalities for Machine Learning NS Wadia, Y Dandi, MI Jordan arXiv preprint arXiv:2309.04877, 2023 | | 2023 |
Optimization: Stochastic thermodynamics, machine learning, and numerical algorithms NS Wadia University of California, Berkeley, 2022 | | 2022 |