Applications: Deep Learning / Neuronal Network

Machine learning K-means algorithm applied to wavefront sensing in Bi-Ronchi/Hartmann tests with SLM

Tutorial: A practical guide to the alignment of defocused spatial light modulators for fast diffractive neural networks

Mueller matrix-based deep neural network for adaptive reconstruction of orthogonal polarization components of a vector beam transmitted through a highly scattering medium

Implementation of fully connected layers in optical convolutional neural networks for pre-sensor computing

Physical Interpretation of Diffractive Optical Networks for High-Dimensional Vortex Mode Sorting

In-situ forward sparse training of large-scale optical neural networks

Digital design of mode decomposition systems for multimode fibers using physics-informed neural network

Memory-Reduced Convolutional Neural Network for Fast Phase Hologram Generation

NeuHolo: non-interferometric quantitative single-shot holographic imaging for 3D metrology using neural fields

Computational ghost imaging of atmospheric turbulence based on a single variable convolution kernel