Vladislav Neskorniuk

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3 Conference publication
1 Unpublished Conference Paper
1 Article

Model-Based Deep Learning of Joint Probabilistic and Geometric Shaping for Optical Communication
Neskorniuk, V., Carnio, A., Marsella, D., Turitsyn, S. K., Prilepsky, J. E. & Aref, V., 23 Sep 2022, 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings. IEEE, 2 p. SW4E.5n. (Conference on Lasers and Electro-Optics, CLEO).
Research output: Chapter in Book/Published conference output › Conference publication
Complex-Valued Neural Network Design for Mitigation of Signal Distortions in Optical Links
Freire, P. J., Neskorniuk, V., Napoli, A., Spinnler, B., Costa, N., Khanna, G., Riccardi, E., Prilepsky, J. E. & Turitsyn, S. K., 15 Mar 2021, In: Journal of Lightwave Technology. 39, 6, p. 1696 - 1705 10 p., 9280329.
Research output: Contribution to journal › Article › peer-review

Open Access
File
End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model
Neskorniuk, V., Carnio, A., Bajaj, V., Marsella, D., Turitsyn, S. K., Prilepsky, J. E. & Aref, V., 26 Jul 2021, ECOC Exhibition 2021. 4 p.
Research output: Chapter in Book/Published conference output › Conference publication

Open Access
Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers
Neskorniuk, V., Buchali, F., Bajaj, V., Turitsyn, S. K., Prilepsky, J. E. & Aref, V., 6 Jun 2021. 3 p.
Research output: Unpublished contribution to conference › Unpublished Conference Paper › peer-review

File
Simplifying the Supervised Learning of Kerr Nonlinearity Compensation Algorithms by Data Augmentation
Neskorniuk, V., Freire de Carvalho Souza, P. J., Napoli, A., Spinnler, B., Schairer, W., Prilepsky, J. E., Costa, N. & Turitsyn, S. K., 4 Feb 2021, 2020 European Conference on Optical Communications, ECOC 2020. IEEE, 4 p. 9333417. (2020 European Conference on Optical Communications, ECOC 2020).
Research output: Chapter in Book/Published conference output › Conference publication

File

The example codes and numerical traces supplemented for article "Data augmentation for the supervised learning of nonlinearity compensation algorithms in optical communications"
Neskorniuk, V. (Creator), Freire, P. J. (Creator), Napoli, A. (Creator), Spinnler, B. (Creator), Schairer, W. (Creator), Prylepskiy, Y. (Creator), Costa, N. (Creator) & Turitsyn, S. (Creator), Aston Data Explorer, 25 Sep 2020
DOI: https://doi.org/10.17036/researchdata.aston.ac.uk.00000481
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Vladislav Neskorniuk

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Research output

Model-Based Deep Learning of Joint Probabilistic and Geometric Shaping for Optical Communication

Complex-Valued Neural Network Design for Mitigation of Signal Distortions in Optical Links

End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model

Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers

Simplifying the Supervised Learning of Kerr Nonlinearity Compensation Algorithms by Data Augmentation

Datasets

The example codes and numerical traces supplemented for article "Data augmentation for the supervised learning of nonlinearity compensation algorithms in optical communications"