ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.08501
  4. Cited By
Experimentally realized in situ backpropagation for deep learning in
  nanophotonic neural networks

Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks

17 May 2022
Sunil Pai
Zhanghao Sun
Tyler W. Hughes
Taewon Park
Ben Bartlett
Ian A. D. Williamson
M. Minkov
M. Milanizadeh
Nathnael S. Abebe
F. Morichetti
A. Melloni
S. Fan
O. Solgaard
David A. B. Miller
ArXivPDFHTML

Papers citing "Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks"

4 / 4 papers shown
Title
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
Yequan Zhao
Xinling Yu
Xian Xiao
Z. Chen
Z. Liu
G. Kurczveil
R. Beausoleil
S. Liu
Z. Zhang
47
0
0
17 Feb 2025
Backpropagation-free Training of Deep Physical Neural Networks
Backpropagation-free Training of Deep Physical Neural Networks
Ali Momeni
Babak Rahmani
M. Malléjac
Philipp del Hougne
Romain Fleury
AI4CE
PINN
17
53
0
20 Apr 2023
Silicon Photonic Architecture for Training Deep Neural Networks with
  Direct Feedback Alignment
Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
M. Filipovich
Zhimu Guo
M. Al-Qadasi
Bicky A. Marquez
Hugh Morison
V. Sorger
Paul R. Prucnal
S. Shekhar
B. Shastri
15
52
0
12 Nov 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
30
457
0
27 Apr 2021
1