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2012.08761
Cited By

Physical deep learning based on optimal control of dynamical systems

v1v2 (latest)

Physical deep learning based on optimal control of dynamical systems

Physical Review Applied (PR Applied), 2020

16 December 2020

ArXiv (abs)PDF HTML

Papers citing "Physical deep learning based on optimal control of dynamical systems"

5 / 5 papers shown

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 NetworksPhysical Review Letters (PRL), 2025

453

7

0

26 Feb 2025

Training of Physical Neural Networks

Training of Physical Neural Networks

Logan G. Wright

Peter L. McMahon

...

378

94

0

05 Jun 2024

Ultrafast single-channel machine vision based on neuro-inspired photonic
computing

Ultrafast single-channel machine vision based on neuro-inspired photonic computingCommunications Physics (Commun. Phys.), 2023

Tomoya Yamaguchi

252

20

0

15 Feb 2023

Photonic neural field on a silicon chip: large-scale, high-speed
neuro-inspired computing and sensing

Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensingOptica (Optica), 2021

220

33

0

22 May 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

Darren T. Schachter

Peter L. McMahon

294

666

0

27 Apr 2021

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