Modified nonlinear inverse synthesis for optical links with distributed Raman amplification. - Son Thai Le; Jaroslaw E. Prilepsky; Morteza Kamalian; Pawel Rosa; Mingming Tan; J. D. Ania-Castañón; Paul Harper; Sergei K. Turitsyn (ECOC, 2015)

A lower bound on the per soliton capacity of the nonlinear optical fibre channel. - Nikita A. Shevchenko; Jaroslaw E. Prilepsky; Stanislav A. Derevyanko; Alex Alvarado; Polina Bayvel; Sergei K. Turitsyn (ITW Fall, 2015)

Digital backpropagation in the nonlinear Fourier domain. - Sander Wahls; Son T. Le; Jaroslaw E. Prilepsky; H. Vincent Poor; Sergei K. Turitsyn (SPAWC, 2015)

First experimental demonstration of nonlinear inverse synthesis transmission over transoceanic distances. - Son Thai Le; Ian D. Phillips; Jaroslaw E. Prilepsky; Paul Harper; Nick J. Doran; Andrew D. Ellis; Sergei K. Turitsyn (OFC, 2016)

A Lower Bound on the Capacity of the Noncentral Chi Channel with Applications to Soliton Amplitude Modulation. - Nikita A. Shevchenko; Stanislav A. Derevyanko; Jaroslaw E. Prilepsky; Alex Alvarado; Polina Bayvel; Sergei K. Turitsyn (CoRR, 2016)

Optimal Launch and Detection Points for the NFT-based Communication System with Lumped Amplification. - Morteza Kamalian; Jaroslaw E. Prilepsky; Son Thai Le; Sergei K. Turitsyn (ECOC, 2017)

Spectral efficiency estimation in periodic nonlinear Fourier transform based communication systems. - Morteza Kamalian; Jaroslaw E. Prilepsky; Son Thai Le; Sergei K. Turitsyn (OFC, 2017)

Reduced-Complexity Nonlinear Inverse Synthesis Transmission Method with Polarization Division Multiplexing. - Stella Civelli; Sergei K. Turitsyn; Marco Secondini; Jaroslaw E. Prilepsky (ECOC, 2018)

Communication System Using Periodic Nonlinear Fourier Transform Based on Riemann-Hilbert Problem. - Morteza Kamalian; Dmitry Shepelsky; Anastasiia Vasylchenkova; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (ECOC, 2018)

Communication System Based on Periodic Nonlinear Fourier Transform with Exact Inverse Transformation. - Morteza Kamalian; Anastasiia Vasylchenkova; Jaroslaw E. Prilepsky; Dmitry Shepelsky; Sergei K. Turitsyn (ECOC, 2018)

Capacity Lower Bounds of the Noncentral Chi-Channel With Applications to Soliton Amplitude Modulation. - Nikita A. Shevchenko; Stanislav A. Derevyanko; Jaroslaw E. Prilepsky; Alex Alvarado; Polina Bayvel; Sergei K. Turitsyn (IEEE Trans. Commun., 2018)

Noise-induced Signal Corruption in Nonlinear Fourier-based Optical Transmission System in the Presence of Discrete Eigenvalues. - Maryna L. Pankratova; Anastasiia Vasylchenkova; Jaroslaw E. Prilepsky (ICETE (1), 2019)

Direct nonlinear Fourier transform algorithms for the computation of solitonic spectra in focusing nonlinear Schrödinger equation. - Anastasiia Vasylchenkova; Jaroslaw E. Prilepsky; Dmitry Shepelsky; Amit K. Chattopadhyay (Commun. Nonlinear Sci. Numer. Simul., 2019)

Experimental Verification of Complex-Valued Artificial Neural Network for Nonlinear Equalization in Coherent Optical Communication Systems. - Pedro J. Freire; Vladislav Neskornuik; Antonio Napoli; Bernhard Spinnler; Nelson Costa; Jaroslaw E. Prilepsky; Emilio Riccardi; Sergei K. Turitsyn (ECOC, 2020)

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)

Nonlinear Fourier Spectrum Characterization of Time-Limited Signals. - Dmitry Shepelsky; Anastasiia Vasylchenkova; Jaroslaw E. Prilepsky; Iryna Karpenko (IEEE Trans. Commun., 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 Networks For Nonlinear Fourier Spectrum Computation. - Egor Sedov; Pedro J. Freire; Igor S. Chekhovskoy; Sergei K. Turitsyn; Jaroslaw E. Prilepsky (ECOC, 2021)

Design of Survivable Metro-Aggregation Networks based on Digital Subcarrier Routing. - Mohammad M. Hosseini; João Pedro 001; Antonio Napoli; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (GLOBECOM, 2021)

Experimental Study of Deep Neural Network Equalizers Performance in Optical Links. - Pedro J. Freire; Yevhenii Osadchuk; Bernhard Spinnler; Wolfgang Schairer; Antonio Napoli; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (OFC, 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)

Realization of Neural Network-based Optical Channel Equalizer in Restricted Hardware. - Diego R. Arguello; Pedro J. Freire; Jaroslaw E. Prilepsky; Antonio Napoli; Morteza Kamalian-Kopae; Sergei K. Turitsyn (CoRR, 2021)

Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications. - Pedro J. Freire; Yevhenii Osadchuk; Antonio Napoli; Bernhard Spinnler; Wolfgang Schairer; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (CoRR, 2021)

Multi-period Planning in Metro-Aggregation Networks using Point-to-Multipoint Transceivers. - Mohammad M. Hosseini; João Pedro 001; Nelson Costa; Antonio Napoli; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (GLOBECOM, 2022)

Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems. - Pedro J. Freire; Bernhard Spinnler; Daniel Abode; Jaroslaw E. Prilepsky; Abdallah A. I. Ali; Nelson Costa; Wolfgang Schairer; Antonio Napoli; Andrew D. Ellis; Sergei K. Turitsyn (OFC, 2022)

Optimized Physical Design of Metro Aggregation Networks using Point to Multipoint Transceivers. - Mohammad M. Hosseini; João Pedro 001; Nelson Costa; Antonio Napoli; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (OFC, 2022)

Long-Term Cost-Effectiveness of Metro Networks Exploiting Point-to-Multipoint Transceivers. - Mohammad M. Hosseini; João Pedro 001; Antonio Napoli; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (ONDM, 2022)

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)

Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems. - Pedro J. Freire; Michael Anderson; Bernhard Spinnler; Thomas Bex; Jaroslaw E. Prilepsky; Tobias A. Eriksson; Nelson Costa; Wolfgang Schairer; Michaela Blott; Antonio Napoli; Sergei K. Turitsyn (CoRR, 2022)

Computational Complexity Evaluation of Neural Network Applications in Signal Processing. - Pedro J. Freire; Sasipim Srivallapanondh; Antonio Napoli; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (CoRR, 2022)

Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation. - Pedro J. Freire; Antonio Napoli; Diego Argüello Ron; Bernhard Spinnler; Michael Anderson; Wolfgang Schairer; Thomas Bex; Nelson Costa; Sergei K. Turitsyn; Jaroslaw E. Prilepsky (CoRR, 2022)

Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays. - Pedro J. Freire; Sasipim Srivallapanondh; Michael Anderson; Bernhard Spinnler; Thomas Bex; Tobias A. Eriksson; Antonio Napoli; Wolfgang Schairer; Nelson Costa; Michaela Blott; Sergei K. Turitsyn; Jaroslaw E. Prilepsky (CoRR, 2022)

Optimization of survivable filterless optical networks exploiting digital subcarrier multiplexing. - Mohammad M. Hosseini; João Pedro 001; Antonio Napoli; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (JOCN, 2022)

Deep Neural Network-Aided Soft-Demapping in Coherent Optical Systems: Regression Versus Classification. - Pedro J. Freire; Jaroslaw E. Prilepsky; Yevhenii Osadchuk; Sergei K. Turitsyn; Vahid Aref (IEEE Trans. Commun., 2022)

Optimal Design of Filterless Horseshoe Networks Supporting Point-to-Multipoint Transceivers. - Mohammad M. Hosseini; João Pedro 001; Nelson Costa; Antonio Napoli; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (OFC, 2023)

Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection. - Sasipim Srivallapanondh; Pedro J. Freire; Bernhard Spinnler; Nelson Costa; Antonio Napoli; Sergei K. Turitsyn; Jaroslaw E. Prilepsky (OFC, 2023)

Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers. - Mohammad M. Hosseini; João Pedro 001; Antonio Napoli; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (PSC, 2023)

Constrained-Optimization of Filterless Horseshoe Networks Supporting P2MP Coherent Transceivers. - Mohammad M. Hosseini; João Pedro 001; Antonio Napoli; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (VCC, 2023)

Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers. - Sasipim Srivallapanondh; Pedro J. Freire; Antonio Napoli; Sergei K. Turitsyn; Jaroslaw E. Prilepsky (CoRR, 2023)

Multi-Task Learning to Enhance Generazability of Neural Network Equalizers in Coherent Optical Systems. - Sasipim Srivallapanondh; Pedro J. Freire; Ashraful Alam; Nelson Costa; Bernhard Spinnler; Antonio Napoli; Egor Sedov; Sergei K. Turitsyn; Jaroslaw E. Prilepsky (CoRR, 2023)

Multi-period planning in metro-aggregation networks exploiting point-to-multipoint coherent transceivers. - Mohammad M. Hosseini; João Pedro 001; Antonio Napoli; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (JOCN, 2023)

Optimized design of filterless horseshoe networks exploiting point-to-multipoint coherent transceivers. - Mohammad M. Hosseini; João Pedro 001; Antonio Napoli; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (J. Opt. Commun. Netw., 2023)

Phase computation for the finite-genus solutions to the focusing nonlinear Schrödinger equation using convolutional neural networks. - Stepan Bogdanov; Dmitry Shepelsky; Anastasiia Vasylchenkova; Egor Sedov; Pedro J. Freire; Sergei K. Turitsyn; Jaroslaw E. Prilepsky (Commun. Nonlinear Sci. Numer. Simul., 2023)

Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation. - Pedro J. Freire; Egor Manuylovich; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (CoRR, 2024)

Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations. - Alice Duque; Pedro J. Freire; Egor Manuylovich; Dmitrii Stoliarov; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (CoRR, 2024)

Geometric Clustering for Hardware-Efficient Implementation of Chromatic Dispersion Compensation. - Geraldo Gomes; Pedro J. Freire; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (CoRR, 2024)

FPGA Implementation of Low-Power Multiplierless Pre-Processing Free Chromatic Dispersion Equalizer. - Geraldo Gomes; Pedro J. Freire; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (OFC, 2025)

Weight-Clustered Neural Networks for Low-Complexity Nonlinear Equalization in Digital Subcarrier Multiplexing Systems. - Sasipim Srivallapanondh; Pedro J. Freire; Giuseppe Parisi; Mariano Devigili; Nelson Costa; Bernhard Spinnler; Antonio Napoli; Jaroslaw E. Prilepsky; Sergei K. Turitsyn (OFC, 2025)

Pre-, In-, and Post-Processing Class Imbalance Mitigation Techniques for Failure Detection in Optical Networks. - Yousuf Moiz Ali; Jaroslaw E. Prilepsky; Nicola Sambo; João Pedro 001; Mohammad M. Hosseini; Antonio Napoli; Sergei K. Turitsyn; Pedro J. Freire (CoRR, 2025)