Estimation of Kerr nonlinearity distortion in coherent dense wavelength-division multiplexing fiber-optic communication lines. - Alexey Lotsmanov; Vladislav Neskorniuk; Gleb Sidelnikov; Pavel Plotnikov (BlackSeaCom, 2019)

Simplifying the Supervised Learning of Kerr Nonlinearity Compensation Algorithms by Data Augmentation. - Vladislav Neskorniuk; Pedro J. Freire; Antonio Napoli; Bernhard Spinnler; Wolfgang Schairer; Jaroslaw E. Prilepsky; Nelson Costa; Sergei K. Turitsyn (ECOC, 2020)

End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model. - Vladislav Neskorniuk; Andrea Carnio; Vinod Bajaj; Domenico Marsella; Sergei K. Turitsyn; Jaroslaw E. Prilepsky; Vahid Aref (ECOC, 2021)

Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers. - Vladislav Neskorniuk; Fred Buchali; Vinod Bajaj; Sergei K. Turitsyn; Jaroslaw E. Prilepsky; Vahid Aref (OFC, 2021)

Model-Based Deep Learning of Joint Probabilistic and Geometric Shaping for Optical Communication. - Vladislav Neskorniuk; Andrea Carnio; Domenico Marsella; Sergei K. Turitsyn; Jaroslaw E. Prilepsky; Vahid Aref (CoRR, 2022)

MIMO DSP in Direct Detection SDM Systems Based on Weakly-Coupled Multicore Fibers. - Vladislav Neskorniuk; Igor Koltchanov; Artur Chaikovski; André Richter (ICTON, 2024)