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High-performance real-world optical computing trained by in situ
  model-free optimization

High-performance real-world optical computing trained by in situ model-free optimization

22 July 2023
Guangyuan Zhao
Xin Shu
R. Zhou
ArXivPDFHTML

Papers citing "High-performance real-world optical computing trained by in situ model-free optimization"

4 / 4 papers shown
Title
Training of Physical Neural Networks
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
51
9
0
05 Jun 2024
Guiding Evolutionary Strategies by Differentiable Robot Simulators
Guiding Evolutionary Strategies by Differentiable Robot Simulators
Vladislav Kurenkov
Bulat Maksudov
29
2
0
01 Oct 2021
Deep physical neural networks enabled by a backpropagation algorithm for
  arbitrary physical systems
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
40
469
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
70
1,628
0
14 Apr 2018
1