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Experimental Demonstration of Arbitrary Raman Gain-Profile Designs using Machine Learning.

, , , , and . OFC, page 1-3. IEEE, (2020)

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Generalization Properties of Machine Learning-based Raman Models., , , , and . OFC, page 1-3. IEEE, (2021)Optimization of a Hybrid EDFA-Raman C+L Band Amplifier through Neural-Network Models., , , , , , , , , and . OFC, page 1-3. IEEE, (2021)Load Aware Raman Gain Profile Prediction in Dynamic Multi-Band Optical Networks., , , , , and . OFC, page 1-3. IEEE, (2020)Advancing Classical and Quantum Communication Systems with Machine Learning., , , , , , , , , and 1 other author(s). OFC, page 1-3. IEEE, (2020)Experimental Demonstration of Arbitrary Raman Gain-Profile Designs using Machine Learning., , , , and . OFC, page 1-3. IEEE, (2020)Local and global approaches for the adaptive control of a cascade of amplifiers., , , , , , and . Photonic Netw. Commun., 33 (2): 194-207 (2017)Machine learning applied to inverse systems design., , , , and . ONDM, page 1-3. IEEE, (2022)Online versus Offline Optimization Methods for Raman Amplifier Optimization., , , , , , and . OECC/PSC, page 1-4. IEEE, (2022)