Multi-Task Learning to Enhance Generalizability of Neural Network
Equalizers in Coherent Optical Systems

v1v2v3 (latest)

Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systems

4 July 2023

S. Srivallapanondh

Pedro J. Freire

Jaroslaw E. Prilepsky

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Papers citing "Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systems"

5 / 5 papers shown

Title
Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection S. Srivallapanondh Pedro J. Freire B. Spinnler N. Costa A. Napoli S. Turitsyn Jaroslaw E. Prilepsky 60 12 0 08 Dec 2022
Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems Pedro J. Freire B. Spinnler Daniel Abode Jaroslaw E. Prilepsky Abdallah A. i. Ali N. Costa W. Schairer A. Napoli A. Ellis S. Turitsyn OOD 52 15 0 25 Feb 2022
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 217 625 0 10 Sep 2020
Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks S. Deligiannidis Adonis Bogris C. Mesaritakis Y. Kopsinis 38 70 0 31 Jan 2020
Nonlinear Interference Mitigation via Deep Neural Networks Christian Hager H. Pfister 72 140 0 17 Oct 2017

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