Benjamin Gobé
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View article: Machine learning-driven complex models for wavefront shaping through multimode fibers
Machine learning-driven complex models for wavefront shaping through multimode fibers Open
We investigate a method to retrieve full-complex models (Transmission Matrix and Neural Network) of a highly multimode fiber (140 LP modes/polarization) using a straightforward machine learning approach, without the need of a reference bea…
View article: Deep learning-driven full complex model of highly multimode fibers
Deep learning-driven full complex model of highly multimode fibers Open
We present an original deep learning process for modeling a multimodal fiber by use of a neural network. It connects the complex incident field on a fiber with a large number of modes (140 LP modes per polarization) to the output one, with…
View article: Deep learning-driven full complex model of highly multimode fibers
Deep learning-driven full complex model of highly multimode fibers Open
We present an original deep learning process for modeling a multimodal fiber by use of a neural network. It connects the complex incident field on a fiber with a large number of modes (140 LP modes per polarization) to the output one, with…
View article: Machine learning method to measure the transmission matrix of a multimode optical fiber without reference beam for 3D beam tailoring
Machine learning method to measure the transmission matrix of a multimode optical fiber without reference beam for 3D beam tailoring Open
International audience
View article: Retrieving the Complex Transmission Matrix of a Multimode Fiber by Machine Learning for 3D Beam Shaping
Retrieving the Complex Transmission Matrix of a Multimode Fiber by Machine Learning for 3D Beam Shaping Open
International audience