most citedPhysics-aware Complex-valued Adversarial Machine Learning in Reconfigurable Diffractive All-optical Neural Network

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

physics.optics2024

Optical Neural Engine for Solving Scientific Partial Differential Equations

Yingheng Tang, Ruiyang Chen, Minhan Lou +5

Solving partial differential equations (PDEs) is the cornerstone of scientific research and development. Data-driven machine learning (ML) approaches are emerging to accelerate tim…

cs.ET2022★ 1 cited

Physics-aware Complex-valued Adversarial Machine Learning in Reconfigurable Diffractive All-optical Neural Network

Ruiyang Chen, Yingjie Li, Minhan Lou +5

Diffractive optical neural networks have shown promising advantages over electronic circuits for accelerating modern machine learning (ML) algorithms. However, it is challenging to…