Physics-inspired Neuroacoustic Computing Based on Tunable Nonlinear Multiple-scattering

17 April 2023

Papers citing "Physics-inspired Neuroacoustic Computing Based on Tunable Nonlinear Multiple-scattering"

4 / 4 papers shown

Title
Backpropagation-free Training of Deep Physical Neural Networks Ali Momeni Babak Rahmani M. Malléjac Philipp del Hougne Romain Fleury AI4CE PINN 32 54 0 20 Apr 2023
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 48 177 0 27 Apr 2021
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 42 469 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 76 1,628 0 14 Apr 2018