Pedro J. Freire

31 papers Journal 22Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Experimental Demonstration of Online Learning-Based Concept Drift Adaptation for Failure Detection in Optical Networks. CoRR Yousuf Moiz Ali, Jaroslaw E. Prilepsky, João Pedro, Antonio Napoli, Sasipim Srivallapanondh, Sergei K. Turitsyn, Pedro J. Freire
2026	J	`jnl`	PatchDenoiser: Parameter-efficient multi-scale patch learning and fusion denoiser for medical images. CoRR Jitindra Fartiyal, Pedro J. Freire, Sergei K. Turitsyn, Sergei G. Solovski
2025	J	`jnl`	Dual Path Learning - learning from noise and context for medical image denoising. CoRR Jitindra Fartiyal, Pedro J. Freire, Yasmeen Whayeb, James S. Wolffsohn, Sergei K. Turitsyn, Sergei G. Sokolov
2025	—	`conf`	FPGA Implementation of Low-Power Multiplierless Pre-Processing Free Chromatic Dispersion Equalizer. OFC Geraldo Gomes, Pedro J. Freire, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
2025	J	`jnl`	From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis. CoRR Yousuf Moiz Ali, Jaroslaw E. Prilepsky, Nicola Sambo, João Pedro, Mohammad M. Hosseini, Antonio Napoli, Sergei K. Turitsyn, Pedro J. Freire
2025	J	`jnl`	Pre-, In-, and Post-Processing Class Imbalance Mitigation Techniques for Failure Detection in Optical Networks. CoRR Yousuf Moiz Ali, Jaroslaw E. Prilepsky, Nicola Sambo, João Pedro, Mohammad M. Hosseini, Antonio Napoli, Sergei K. Turitsyn, Pedro J. Freire
2025	J	`jnl`	Roadmap on Neuromorphic Photonics. CoRR 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, Xinlun Cai, Marcello Calvanese Strinati, Burcu Canakci, Benoît Charbonnier, Mario Chemnitz, Yitong Chen, Stanley Cheung, Jeff Chiles, Suyeon Choi, Demetrios N. Christodoulides, Lukas Chrostowski, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Claudio Conti, Qionghai Dai, Luigi Di Lauro, Nikolaos-Panteleimon Diamantopoulos, Niyazi Ulas Dinç, Jacob Ewaniuk, Shanhui Fan, Lu Fang, Riccardo Franchi, Pedro J. Freire, Silvia Gentilini, Sylvain Gigan, Gian Luca Giorgi, Christos Gkantsidis, Jannes Gladrow, Elena Goi, M. Goldmann, A. Grabulosa, Min Gu, Xianxin Guo, Matej Hejda, Folkert Horst, Jih-Liang Hsieh, Jianqi Hu, Juejun Hu, Chaoran Huang, Antonio Hurtado, Lina Jaurigue, Kirill P. Kalinin, Morteza Kamalian-Kopae, Douglas J. Kelly, Mercedeh Khajavikhan, Heiner Kremer, Jérémie Laydevant, Joshua Lederman, Jongheon Lee, Daan Lenstra, Gordon H. Y. Li, Mo Li, Yuhang Li, Xing Lin, Zhongjin Lin, Mieszko Lis, Kathy Lüdge, Alessio Lugnan, Alessandro Lupo, A. I. Lvovsky, Egor Manuylovich, Alireza Marandi, Federico Marchesin, Serge Massar, Adam N. McCaughan, Peter L. McMahon, Miltiadis Moralis-Pegios, Roberto Morandotti, Christophe Moser, David J. Moss, Avilash Mukherjee, Mahdi Nikdast, Bert J. Offrein, Ilker Oguz, Bakhrom G. Oripov, Greg O'Shea, Aydogan Ozcan, Francesca Parmigiani, Sudeep Pasricha, Fabio Pavanello, Lorenzo Pavesi, Nicola Peserico, Lucinda Pickup, Davide Pierangeli, Nikos Pleros, Xavier Porte, Bryce A. Primavera
2025	—	`conf`	Weight-Clustered Neural Networks for Low-Complexity Nonlinear Equalization in Digital Subcarrier Multiplexing Systems. OFC Sasipim Srivallapanondh, Pedro J. Freire, Giuseppe Parisi, Mariano Devigili, Nelson Costa, Bernhard Spinnler, Antonio Napoli, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
2024	J	`jnl`	Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation. CoRR Pedro J. Freire, Egor Manuylovich, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
2024	J	`jnl`	Geometric Clustering for Hardware-Efficient Implementation of Chromatic Dispersion Compensation. CoRR Geraldo Gomes, Pedro J. Freire, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
2024	J	`jnl`	Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations. CoRR Alice Duque, Pedro J. Freire, Egor Manuylovich, Dmitrii Stoliarov, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
2023	—	`conf`	Data Augmentation to Reduce Computational Complexity of Neural-Network-Based Soft-Failure Cause Identifier. OFC Lareb Zar Khan, Pedro J. Freire, João Pedro, Nelson Costa, Antonio Napoli, Nicola Sambo
2023	J	`jnl`	Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers. CoRR Sasipim Srivallapanondh, Pedro J. Freire, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
2023	—	`conf`	Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection. OFC Sasipim Srivallapanondh, Pedro J. Freire, Bernhard Spinnler, Nelson Costa, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
2023	J	`jnl`	Multi-Task Learning to Enhance Generazability of Neural Network Equalizers in Coherent Optical Systems. CoRR Sasipim Srivallapanondh, Pedro J. Freire, Ashraful Alam, Nelson Costa, Bernhard Spinnler, Antonio Napoli, Egor Sedov, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
2023	J	`jnl`	Phase computation for the finite-genus solutions to the focusing nonlinear Schrödinger equation using convolutional neural networks. Commun. Nonlinear Sci. Numer. Simul. Stepan Bogdanov, Dmitry Shepelsky, Anastasiia Vasylchenkova, Egor Sedov, Pedro J. Freire, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
2022	J	`jnl`	Computational Complexity Evaluation of Neural Network Applications in Signal Processing. CoRR Pedro J. Freire, Sasipim Srivallapanondh, Antonio Napoli, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
2022	J	`jnl`	Deep Neural Network-Aided Soft-Demapping in Coherent Optical Systems: Regression Versus Classification. IEEE Trans. Commun. Pedro J. Freire, Jaroslaw E. Prilepsky, Yevhenii Osadchuk, Sergei K. Turitsyn, Vahid Aref
2022	—	`conf`	Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems. OFC 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
2022	J	`jnl`	Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems. CoRR 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
2022	J	`jnl`	Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays. CoRR 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
2022	J	`jnl`	Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection. CoRR Sasipim Srivallapanondh, Pedro J. Freire, Bernhard Spinnler, Nelson Costa, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
2022	J	`jnl`	Novel evolutionary planning technique for flexible-grid transmission in optical networks. Opt. Switch. Netw. Matheus Ribeiro Sena, Pedro J. Freire, Leonardo D. Coelho, Alex Ferreira dos Santos, Antonio Napoli, Raul C. Almeida Jr.
2022	J	`jnl`	Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation. CoRR Pedro J. Freire, Antonio Napoli, Diego Argüello Ron, Bernhard Spinnler, Michael Anderson, Wolfgang Schairer, Thomas Bex, Nelson Costa, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
2022	J	`jnl`	Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems. CoRR 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
2021	J	`jnl`	Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications. CoRR Pedro J. Freire, Yevhenii Osadchuk, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
2021	—	`conf`	Experimental Study of Deep Neural Network Equalizers Performance in Optical Links. OFC Pedro J. Freire, Yevhenii Osadchuk, Bernhard Spinnler, Wolfgang Schairer, Antonio Napoli, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
2021	—	`conf`	Neural Networks For Nonlinear Fourier Spectrum Computation. ECOC Egor Sedov, Pedro J. Freire, Igor S. Chekhovskoy, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
2021	J	`jnl`	Realization of Neural Network-based Optical Channel Equalizer in Restricted Hardware. CoRR Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn
2020	—	`conf`	Experimental Verification of Complex-Valued Artificial Neural Network for Nonlinear Equalization in Coherent Optical Communication Systems. ECOC Pedro J. Freire, Vladislav Neskornuik, Antonio Napoli, Bernhard Spinnler, Nelson Costa, Jaroslaw E. Prilepsky, Emilio Riccardi, Sergei K. Turitsyn
2020	—	`conf`	Simplifying the Supervised Learning of Kerr Nonlinearity Compensation Algorithms by Data Augmentation. ECOC Vladislav Neskorniuk, Pedro J. Freire, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Jaroslaw E. Prilepsky, Nelson Costa, Sergei K. Turitsyn