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Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing., , , , , and . Allerton, page 192-199. IEEE, (2019)Optical Fiber Communication Systems Based on End-to-End Deep Learning., , , , , and . CoRR, (2020)Semi-Supervised Learning with Per-Class Adaptive Confidence Scores for Acoustic Environment Classification with Imbalanced Data., , , , , and . ICASSP, page 1-5. IEEE, (2023)Nonlinearity Compensation and Information Rates in Fully-Loaded C-band Optical Fibre Transmission Systems., , , , , , , and . ECOC, page 1-3. IEEE, (2017)End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks., , , and . CoRR, (2019)Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model., , , , , and . OFC, page 1-3. IEEE, (2020)Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications., , , , , , and . SiPS, page 1-6. IEEE, (2020)On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge., , , , , and . CoRR, (2024)Record high capacity (6.8 Tbit/s) WDM coherent transmission in hollow-core antiresonant fiber., , , , , , , , , and 3 other author(s). OFC, page 1-3. IEEE, (2017)Digital Nonlinearity Compensation Considering Signal Spectral Broadening Effects in Dispersion-managed Systems., , , , , , and . OFC, page 1-3. IEEE, (2018)