Add to ORKGInternational audienceWe review our recent work on the real-time characaterization of ultrafast non-repetitive signals in fiber-optics systems and modeling of nonlinear dynamics using machine learning
In this chapter, machine learning (ML) algorithm is introduced in single-step perturbation and multi...
International audienceRecent years have seen renewed interest in the study of nonlinear fibre laser ...
International audienceAlthough the successes of artificial intelligence in areas such as automatic t...
International audienceWe review the use of machine learning techniques in ultrafast dynamics in fibe...
We review our recent progress on the application of machine-learning techniques in the field of ultr...
International audienceWe will review our recent work in real-time measurements of nonlinear instabil...
International audienceWe will review our recent work in real-time measurements of nonlinear instabil...
International audienceWe show how neural networks can be used to model complex and predict nonlinear...
Full simulation data sets for "Predicting ultrafast nonlinear dynamics in fibre optics with a recurr...
Codes, result data sets, and full simulation data sets for "Predicting ultrafast nonlinear dynamics ...
Codes, result data sets, and full simulation data sets for "Predicting ultrafast nonlinear dynamics ...
International audienceRecent years have seen the rapid growth of the field of smart photonics where ...
International audienceRecent years have seen the rapid growth of the field of smart photonics where ...
International audienceRecent years have seen the rapid growth of the field of smart photonics where ...
International audienceWe use a supervised machine-learning approach to solve both the direct and inv...
In this chapter, machine learning (ML) algorithm is introduced in single-step perturbation and multi...
International audienceRecent years have seen renewed interest in the study of nonlinear fibre laser ...
International audienceAlthough the successes of artificial intelligence in areas such as automatic t...
International audienceWe review the use of machine learning techniques in ultrafast dynamics in fibe...
We review our recent progress on the application of machine-learning techniques in the field of ultr...
International audienceWe will review our recent work in real-time measurements of nonlinear instabil...
International audienceWe will review our recent work in real-time measurements of nonlinear instabil...
International audienceWe show how neural networks can be used to model complex and predict nonlinear...
Full simulation data sets for "Predicting ultrafast nonlinear dynamics in fibre optics with a recurr...
Codes, result data sets, and full simulation data sets for "Predicting ultrafast nonlinear dynamics ...
Codes, result data sets, and full simulation data sets for "Predicting ultrafast nonlinear dynamics ...
International audienceRecent years have seen the rapid growth of the field of smart photonics where ...
International audienceRecent years have seen the rapid growth of the field of smart photonics where ...
International audienceRecent years have seen the rapid growth of the field of smart photonics where ...
International audienceWe use a supervised machine-learning approach to solve both the direct and inv...
In this chapter, machine learning (ML) algorithm is introduced in single-step perturbation and multi...
International audienceRecent years have seen renewed interest in the study of nonlinear fibre laser ...
International audienceAlthough the successes of artificial intelligence in areas such as automatic t...