| Machine learning for optical fiber communication systems: An introduction and overview JW Nevin, S Nallaperuma, NA Shevchenko, X Li, MS Faruk, SJ Savory Apl Photonics 6 (12), 2021 | 39 | 2021 |
| Techniques for applying reinforcement learning to routing and wavelength assignment problems in optical fiber communication networks JW Nevin, S Nallaperuma, NA Shevchenko, Z Shabka, G Zervas, ... Journal of Optical Communications and Networking 14 (9), 733-748, 2022 | 19 | 2022 |
| Physics-informed Gaussian process regression for optical fiber communication systems JW Nevin, FJ Vaquero-Caballero, DJ Ives, SJ Savory Journal of Lightwave Technology 39 (21), 6833-6844, 2021 | 15 | 2021 |
| Interpreting multi-objective reinforcement learning for routing and wavelength assignment in optical networks S Nallaperuma, Z Gan, J Nevin, M Shevchenko, SJ Savory Journal of Optical Communications and Networking 15 (8), 497-506, 2023 | 2 | 2023 |
| Gaussian process-driven history matching for physical layer parameter estimation in optical fiber communication networks JW Nevin, S Nallaperuma, SJ Savory arXiv preprint arXiv:2202.11700, 2022 | 2 | 2022 |
| Analysis of the extremes of SNR time series data using extreme value statistics JW Nevin, SJ Savory 2021 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2021 | 1 | 2021 |
| Quantized Vortex Rings and Loop Solitons PJ Green, MJ Grant, JW Nevin, PM Walmsley, AI Golov Journal of Low Temperature Physics 201, 11-17, 2020 | 1 | 2020 |
| Training and evaluation data for routing and wavelength assignment using multi objective reinforcement learning S Nallaperuma, Z Gan, J Nevin, M Shevchenko, S Savory | | 2023 |
| GP Driven DBP J Nevin, S Savory, B Polina, L Galdino, E Sillekens, R Sohanpal, ... | | 2023 |
| Optical network physical layer parameter optimization for digital backpropagation using Gaussian processes JW Nevin, E Sillekens, R Sohanpal, L Galdino, S Nallaperuma, P Bayvel, ... Data-Centric Engineering 4, e19, 2023 | | 2023 |
