Training neural networks with end-to-end optical backpropagation

9 August 2023

Papers citing "Training neural networks with end-to-end optical backpropagation"

5 / 5 papers shown

Title
Training of Physical Neural Networks Ali Momeni Babak Rahmani B. Scellier Logan G. Wright Peter L. McMahon ... Julie Grollier Andrea J. Liu D. Psaltis Andrea Alù Romain Fleury PINN AI4CE 47 8 0 05 Jun 2024
Scaling on-chip photonic neural processors using arbitrarily programmable wave propagation Tatsuhiro Onodera Martin M. Stein Benjamin A. Ash Mandar M. Sohoni Melissa Bosch ... Tianyu Wang Gennady Shvets Maxim R Shcherbakov Logan G. Wright Peter L. McMahon 24 10 0 27 Feb 2024
Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation Qingshan Wang C. C. Wanjura Florian Marquardt 21 10 0 13 Feb 2024
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems Logan G. Wright Tatsuhiro Onodera Martin M. Stein Tianyu Wang Darren T. Schachter Zoey Hu Peter L. McMahon PINN AI4CE 35 465 0 27 Apr 2021
$All-Optical Machine Learning Using Diffractive Deep Neural Networks$ All-Optical Machine Learning Using Diffractive Deep Neural Networks Xing Lin Y. Rivenson N. Yardimci Muhammed Veli Mona Jarrahi Aydogan Ozcan 59 1,626 0 14 Apr 2018