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Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible

Aug 25, 2020
Neha S. Wadia, Daniel Duckworth, Samuel S. Schoenholz, Ethan Dyer, Jascha Sohl-Dickstein

* 15+7 pages, 7 figures; added references, edited model descriptions for clarity, results unchanged 

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Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses

Mar 23, 2020
Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael R. DeWeese, Kristofer E. Bouchard

* 18 pages, 5 figures 

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Numerically Recovering the Critical Points of a Deep Linear Autoencoder

Jan 29, 2019
Charles G. Frye, Neha S. Wadia, Michael R. DeWeese, Kristofer E. Bouchard

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