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Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection., , , , , , and . OFC, page 1-3. IEEE, (2023)Experimental Study of Deep Neural Network Equalizers Performance in Optical Links., , , , , , , and . OFC, page 1-3. IEEE, (2021)Simplifying the Supervised Learning of Kerr Nonlinearity Compensation Algorithms by Data Augmentation., , , , , , , and . ECOC, page 1-4. IEEE, (2020)Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation., , , and . CoRR, (2024)Experimental Verification of Complex-Valued Artificial Neural Network for Nonlinear Equalization in Coherent Optical Communication Systems., , , , , , , and . ECOC, page 1-4. IEEE, (2020)Data Augmentation to Reduce Computational Complexity of Neural-Network-Based Soft-Failure Cause Identifier., , , , , and . OFC, page 1-3. IEEE, (2023)Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems., , , , , , , , , and . OFC, page 1-3. IEEE, (2022)Neural Networks For Nonlinear Fourier Spectrum Computation., , , , and . ECOC, page 1-4. IEEE, (2021)Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation., , , , , , , , , and . CoRR, (2022)