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ORCIDPedro J. Freire
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2020 – today
- 2024
[i13]Pedro J. Freire, Egor Manuylovich, Jaroslaw E. Prilepsky, Sergei K. Turitsyn:
Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation. CoRR abs/2408.02685 (2024)- [i12]Alice Duque, Pedro J. Freire, Egor Manuylovich, Dmitrii Stoliarov, Jaroslaw E. Prilepsky, Sergei K. Turitsyn:
Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations. CoRR abs/2409.08633 (2024) - [i11]Geraldo Gomes, Pedro J. Freire, Jaroslaw E. Prilepsky, Sergei K. Turitsyn:
Geometric Clustering for Hardware-Efficient Implementation of Chromatic Dispersion Compensation. CoRR abs/2409.10416 (2024) - 2023
- [j3]Stepan Bogdanov, Dmitry Shepelsky
, Anastasiia Vasylchenkova, Egor Sedov, Pedro J. Freire, Sergei K. Turitsyn, Jaroslaw E. Prilepsky:
Phase computation for the finite-genus solutions to the focusing nonlinear Schrödinger equation using convolutional neural networks. Commun. Nonlinear Sci. Numer. Simul. 125: 107311 (2023) - [c7]Lareb Zar Khan, Pedro J. Freire, João Pedro, Nelson Costa, Antonio Napoli, Nicola Sambo:
Data Augmentation to Reduce Computational Complexity of Neural-Network-Based Soft-Failure Cause Identifier. OFC 2023: 1-3 - [c6]Sasipim Srivallapanondh, Pedro J. Freire, Bernhard Spinnler, Nelson Costa, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky:
Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection. OFC 2023: 1-3 - [i10]Sasipim Srivallapanondh, Pedro J. Freire, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky:
Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers. CoRR abs/2305.09495 (2023) - [i9]Sasipim Srivallapanondh, Pedro J. Freire, Ashraful Alam, Nelson Costa, Bernhard Spinnler, Antonio Napoli, Egor Sedov, Sergei K. Turitsyn, Jaroslaw E. Prilepsky:
Multi-Task Learning to Enhance Generazability of Neural Network Equalizers in Coherent Optical Systems. CoRR abs/2307.05374 (2023) - 2022
- [j2]Matheus Sena, Pedro J. Freire, Leonardo D. Coelho, Alex Ferreira dos Santos, Antonio Napoli, Raul C. Almeida Jr.:
Novel evolutionary planning technique for flexible-grid transmission in optical networks. Opt. Switch. Netw. 43: 100648 (2022) - [j1]Pedro J. Freire, Jaroslaw E. Prilepsky, Yevhenii Osadchuk, Sergei K. Turitsyn, Vahid Aref:
Deep Neural Network-Aided Soft-Demapping in Coherent Optical Systems: Regression Versus Classification. IEEE Trans. Commun. 70(12): 7973-7988 (2022) - [c5]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:
Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems. OFC 2022: 1-3 - [i8]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:
Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems. CoRR abs/2202.12689 (2022) - [i7]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:
Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems. CoRR abs/2206.12180 (2022) - [i6]Pedro J. Freire, Sasipim Srivallapanondh, Antonio Napoli, Jaroslaw E. Prilepsky, Sergei K. Turitsyn:
Computational Complexity Evaluation of Neural Network Applications in Signal Processing. CoRR abs/2206.12191 (2022) - [i5]Pedro J. Freire, Antonio Napoli, Diego Argüello Ron, Bernhard Spinnler, Michael Anderson, Wolfgang Schairer, Thomas Bex, Nelson Costa, Sergei K. Turitsyn, Jaroslaw E. Prilepsky:
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation. CoRR abs/2208.12866 (2022) - [i4]Sasipim Srivallapanondh, Pedro J. Freire, Bernhard Spinnler, Nelson Costa, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky:
Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection. CoRR abs/2212.04569 (2022) - [i3]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:
Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays. CoRR abs/2212.04703 (2022) - 2021
- [c4]Egor Sedov, Pedro J. Freire, Igor S. Chekhovskoy, Sergei K. Turitsyn, Jaroslaw E. Prilepsky:
Neural Networks For Nonlinear Fourier Spectrum Computation. ECOC 2021: 1-4 - [c3]Pedro J. Freire, Yevhenii Osadchuk, Bernhard Spinnler, Wolfgang Schairer, Antonio Napoli, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn:
Experimental Study of Deep Neural Network Equalizers Performance in Optical Links. OFC 2021: 1-3 - [i2]Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn:
Realization of Neural Network-based Optical Channel Equalizer in Restricted Hardware. CoRR abs/2109.07204 (2021) - [i1]Pedro J. Freire, Yevhenii Osadchuk, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn:
Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications. CoRR abs/2109.08711 (2021) - 2020
- [c2]Pedro J. Freire, Vladislav Neskornuik, Antonio Napoli, Bernhard Spinnler, Nelson Costa, Jaroslaw E. Prilepsky, Emilio Riccardi, Sergei K. Turitsyn:
Experimental Verification of Complex-Valued Artificial Neural Network for Nonlinear Equalization in Coherent Optical Communication Systems. ECOC 2020: 1-4 - [c1]Vladislav Neskorniuk, Pedro J. Freire, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Jaroslaw E. Prilepsky, Nelson Costa, Sergei K. Turitsyn:
Simplifying the Supervised Learning of Kerr Nonlinearity Compensation Algorithms by Data Augmentation. ECOC 2020: 1-4
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