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. 2406.03372
  4. Cited By
Training of Physical Neural Networks

Training of Physical Neural Networks

5 June 2024
Ali Momeni
Babak Rahmani
B. Scellier
Logan G. Wright
Peter L. McMahon
C. C. Wanjura
Yuhang Li
Anas Skalli
N. Berloff
Tatsuhiro Onodera
Ilker Oguz
Francesco Morichetti
Philipp del Hougne
M. Le Gallo
Abu Sebastian
Azalia Mirhoseini
Cheng Zhang
Danijela Marković
Daniel Brunner
Christophe Moser
Sylvain Gigan
Florian Marquardt
Aydogan Ozcan
Julie Grollier
Andrea J. Liu
D. Psaltis
Andrea Alù
Romain Fleury
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "Training of Physical Neural Networks"

10 / 10 papers shown
Title
Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks
Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks
S. Sunada
T. Niiyama
Kazutaka Kanno
Rin Nogami
André Röhm
Takato Awano
Atsushi Uchida
AI4CE
50
1
0
26 Feb 2025
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
Zhaoxian Wu
Quan Xian
Tayfun Gokmen
Omobayode Fagbohungbe
Tianyi Chen
91
0
0
17 Feb 2025
Scaling on-chip photonic neural processors using arbitrarily
  programmable wave propagation
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
19
10
0
27 Feb 2024
Hydragen: High-Throughput LLM Inference with Shared Prefixes
Hydragen: High-Throughput LLM Inference with Shared Prefixes
Jordan Juravsky
Bradley Brown
Ryan Ehrlich
Daniel Y. Fu
Christopher Ré
Azalia Mirhoseini
49
35
0
07 Feb 2024
Multiplexed gradient descent: Fast online training of modern datasets on
  hardware neural networks without backpropagation
Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation
A. McCaughan
Bakhrom G. Oripov
N. Ganesh
S. Nam
A. Dienstfrey
S. Buckley
22
8
0
05 Mar 2023
Scaling Forward Gradient With Local Losses
Scaling Forward Gradient With Local Losses
Mengye Ren
Simon Kornblith
Renjie Liao
Geoffrey E. Hinton
64
49
0
07 Oct 2022
An optical neural network using less than 1 photon per multiplication
An optical neural network using less than 1 photon per multiplication
Tianyu Wang
Shifan Ma
Logan G. Wright
Tatsuhiro Onodera
Brian C. Richard
Peter L. McMahon
37
174
0
27 Apr 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
27
457
0
27 Apr 2021
Physical reservoir computing -- An introductory perspective
Physical reservoir computing -- An introductory perspective
Kohei Nakajima
38
305
0
03 May 2020
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
1,596
0
14 Apr 2018
1