217 citations · 1.4k across the 33 of their papers we have counts for
3 papers · 1 filter
Design of optical neural networks with component imprecisions
Michael Y. -S. Fang, Sasikanth Manipatruni, Casimir Wierzynski +2
For the benefit of designing scalable, fault resistant optical neural networks (ONNs), we investigate the effects architectural designs have on the ONNs' robustness to imprecise co…
Thermodynamic Computing
Tom Conte, Erik DeBenedictis, Natesh Ganesh +36
The hardware and software foundations laid in the first half of the 20th Century enabled the computing technologies that have transformed the world, but these foundations are now u…
Numerically Recovering the Critical Points of a Deep Linear Autoencoder
Charles G. Frye, Neha S. Wadia, Michael R. DeWeese +1
Numerically locating the critical points of non-convex surfaces is a long-standing problem central to many fields. Recently, the loss surfaces of deep neural networks have been exp…