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Neha S. Wadia
Neha S. Wadia
Postdoctoral Fellow, Center for Computational Mathematics, Flatiron Institute
Verified email at flatironinstitute.org - Homepage
Title
Cited by
Cited by
Year
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
602017
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
19*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
122022
Numerically recovering the critical points of a deep linear autoencoder
CG Frye, NS Wadia, MR DeWeese, KE Bouchard
arXiv preprint arXiv:1901.10603, 2019
92019
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
82021
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
22021
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
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