AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks

14 October 2022

Papers citing "AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks"

5 / 5 papers shown

Title
Thermal Crosstalk Modelling and Compensation Methods for Programmable Photonic Integrated Circuits Isidora Teofilović A. Cem David Sanchez-Jacome Daniel Pérez-López Francesco Da Ros 19 2 0 19 Mar 2024
Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments Vivswan Shah Nathan Youngblood 38 2 0 04 Feb 2024
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 46 177 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 61 1,628 0 14 Apr 2018
The Effects of Hyperparameters on SGD Training of Neural Networks Thomas Breuel 64 63 0 12 Aug 2015