Machine learning techniques applied to system characterization and equalization. - Darko Zibar; Jakob Thrane; Jesper Wass; Rasmus T. Jones; Molly Piels; Christian G. Schaeffer (OFC, 2016)

Prediction of Second-Order Moments of Inter-Channel Interference with Principal Component Analysis and Neural Networks. - Rasmus T. Jones; Júlio C. M. Diniz; Metodi P. Yankov; Molly Piels; Andy Doberstein; Darko Zibar (ECOC, 2017)

Gaussian process regression for WDM system performance prediction. - Jesper Wass; Jakob Thrane; Molly Piels; Rasmus T. Jones; Darko Zibar (OFC, 2017)

Deep Learning of Geometric Constellation Shaping Including Fiber Nonlinearities. - Rasmus T. Jones; Tobias A. Eriksson; Metodi P. Yankov; Darko Zibar (ECOC, 2018)

Noise Robust Receiver for Eigenvalue Communication Systems. - Rasmus T. Jones; Simone Gaiarin; Metodi P. Yankov; Darko Zibar (OFC, 2018)

Geometric Constellation Shaping for Fiber Optic Communication Systems via End-to-end Learning. - Rasmus T. Jones; Tobias A. Eriksson; Metodi P. Yankov; Benjamin J. Puttnam; Georg Rademacher; Ruben S. Luis; Darko Zibar (CoRR, 2018)

End-to-end Learning for GMI Optimized Geometric Constellation Shape. - Rasmus T. Jones; Metodi P. Yankov; Darko Zibar (CoRR, 2019)

Optimization of Fiber Optics Communication Systems via End-to-End Learning. - Ognjen Jovanovic; Rasmus T. Jones; Simone Gaiarin; Metodi P. Yankov; Francesco Da Ros; Darko Zibar (ICTON, 2020)

Spectral Power Profile Optimization of Field-Deployed WDM Network by Remote Link Modeling. - Rasmus T. Jones; Kyle R. H. Bottrill; Natsupa Taengnoi; Periklis Petropoulos; Metodi P. Yankov (CoRR, 2022)

Spectral power profile optimization of a field-deployed wavelength-division multiplexing network enabled by remote EDFA modeling. - Rasmus T. Jones; Kyle R. H. Bottrill; Natsupa Taengnoi; Periklis Petropoulos; Metodi P. Yankov (J. Opt. Commun. Netw., 2023)