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Machine learning techniques for optical communication system optimization.

, , , and . ICTON, page 1. IEEE, (2017)

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A Survey on Application of Machine Learning Techniques in Optical Networks., , , , , , and . CoRR, (2018)End-to-end Learning for GMI Optimized Geometric Constellation Shape., , and . CoRR, (2019)Heterodyne Receivers for Quantum Communication, , , and . Asia Communications and Photonics Conference, (2019)Optimization of Raman amplifiers: a comparison between black-, grey- and white-box modeling., , , , and . CoRR, (2023)Impact of Free-carrier Nonlinearities on Silicon Microring-based Reservoir Computing., , , and . CoRR, (2023)Turbo Equalization Techniques Toward Robust PDM 16-QAM Optical Fiber Transmission., , , , , , and . JOCN, 6 (2): 204-214 (2014)Optimization of Fiber Optics Communication Systems via End-to-End Learning., , , , , and . ICTON, page 1-3. IEEE, (2020)First experimental demonstration of coherent CAP for 300-Gb/s metropolitan optical networks., , , , and . OFC, page 1-3. IEEE, (2014)Machine Learning-Based Raman Amplifier Design., , , and . OFC, page 1-3. IEEE, (2019)Performance evaluation of clock recovery for coherent mode division multiplexed systems., , and . OFC, page 1-3. IEEE, (2017)