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)

Neural Networks For Nonlinear Fourier Spectrum Computation. - Egor Sedov; Pedro J. Freire; Igor S. Chekhovskoy; Sergei K. Turitsyn; Jaroslaw E. Prilepsky (ECOC, 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)

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)

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)

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)

Novel evolutionary planning technique for flexible-grid transmission in optical networks. - Matheus Ribeiro Sena; Pedro J. Freire; Leonardo D. Coelho; Alex Ferreira dos Santos; Antonio Napoli; Raul C. Almeida Jr. (Opt. Switch. Netw., 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)

Data Augmentation to Reduce Computational Complexity of Neural-Network-Based Soft-Failure Cause Identifier. - Lareb Zar Khan; Pedro J. Freire; João Pedro 001; Nelson Costa; Antonio Napoli; Nicola Sambo (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)

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)

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)

Roadmap on Neuromorphic Photonics. - Daniel Brunner; Bhavin J. Shastri; Mohammed Al-Qadasi; Hitesh Ballani; Sylvain Barbay; Stefano Biasi; Peter Bienstman; Simon Bilodeau; Wim Bogaerts; Fabian Böhm; Grace Brennan; Sonia M. Buckley; et al. (CoRR, 2025)

Dual Path Learning - learning from noise and context for medical image denoising. - Jitindra Fartiyal; Pedro J. Freire; Yasmeen Whayeb; James S. Wolffsohn; Sergei K. Turitsyn; Sergei G. Sokolov (CoRR, 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)