| Digital signal processing for fiber nonlinearities JC Cartledge, FP Guiomar, FR Kschischang, G Liga, MP Yankov Optics express 25 (3), 1916-1936, 2017 | 191 | 2017 |
| Constellation shaping for fiber-optic channels with QAM and high spectral efficiency MP Yankov, D Zibar, KJ Larsen, LPB Christensen, S Forchhammer IEEE Photonics Technology Letters 26 (23), 2407-2410, 2014 | 157 | 2014 |
| Constellation shaping for WDM systems using 256QAM/1024QAM with probabilistic optimization MP Yankov, F Da Ros, EP da Silva, S Forchhammer, KJ Larsen, ... Journal of Lightwave Technology 34 (22), 5146-5156, 2016 | 147 | 2016 |
| Deep learning of geometric constellation shaping including fiber nonlinearities RT Jones, TA Eriksson, MP Yankov, D Zibar 2018 European Conference on Optical Communication (ECOC), 1-3, 2018 | 115 | 2018 |
| Experimental comparison of probabilistic shaping methods for unrepeated fiber transmission J Renner, T Fehenberger, MP Yankov, F Da Ros, S Forchhammer, ... Journal of lightwave technology 35 (22), 4871-4879, 2017 | 102 | 2017 |
| Petabit-per-second data transmission using a chip-scale microcomb ring resonator source AA Jørgensen, D Kong, MR Henriksen, F Klejs, Z Ye, ÒB Helgason, ... Nature Photonics 16 (11), 798-802, 2022 | 83 | 2022 |
| End-to-end learning for GMI optimized geometric constellation shape RT Jones, MP Yankov, D Zibar 45th European Conference on Optical Communication (ECOC 2019), 1-4, 2019 | 71 | 2019 |
| Time-domain neural network receiver for nonlinear frequency division multiplexed systems RT Jones, S Gaiarin, MP Yankov, D Zibar IEEE Photonics Technology Letters 30 (12), 1079-1082, 2018 | 60 | 2018 |
| Low-complexity tracking of laser and nonlinear phase noise in WDM optical fiber systems MP Yankov, T Fehenberger, L Barletta, N Hanik Journal of Lightwave Technology 33 (23), 4975-4984, 2015 | 57 | 2015 |
| Characterization and optimization of a high-efficiency AlGaAs-on-insulator-based wavelength converter for 64-and 256-QAM signals F Da Ros, MP Yankov, EP da Silva, M Pu, L Ottaviano, H Hu, E Semenova, ... Journal of Lightwave Technology 35 (17), 3750-3757, 2017 | 53 | 2017 |
| End-to-end learning of a constellation shape robust to channel condition uncertainties O Jovanovic, MP Yankov, F Da Ros, D Zibar Journal of Lightwave Technology 40 (10), 3316-3324, 2022 | 35 | 2022 |
| Geometric constellation shaping for fiber optic communication systems via end-to-end learning RT Jones, TA Eriksson, MP Yankov, BJ Puttnam, G Rademacher, RS Luis, ... arXiv preprint arXiv:1810.00774, 2018 | 35 | 2018 |
| Rate-adaptive constellation shaping for near-capacity achieving turbo coded BICM M Yankov, S Forchhammer, KJ Larsen, LPB Christensen 2014 IEEE International Conference on Communications (ICC), 2112-2117, 2014 | 34 | 2014 |
| Probabilistically shaped 4-PAM for short-reach IM/DD links with a peak power constraint T Wiegart, F Da Ros, MP Yankov, F Steiner, S Gaiarin, RD Wesel Journal of Lightwave Technology 39 (2), 400-405, 2020 | 33 | 2020 |
| Temporal probabilistic shaping for mitigation of nonlinearities in optical fiber systems MP Yankov, KJ Larsen, S Forchhammer Journal of Lightwave Technology 35 (10), 1803-1810, 2017 | 33 | 2017 |
| Gradient-free training of autoencoders for non-differentiable communication channels O Jovanovic, MP Yankov, F Da Ros, D Zibar Journal of Lightwave Technology 39 (20), 6381-6391, 2021 | 30 | 2021 |
| SNR optimization of multi-span fiber optic communication systems employing EDFAs with non-flat gain and noise figure MP Yankov, PM Kaminski, HE Hansen, F Da Ros Journal of Lightwave Technology 39 (21), 6824-6832, 2021 | 30 | 2021 |
| Experimental analysis of pilot-based equalization for probabilistically shaped WDM systems with 256QAM/1024QAM MP Yankov, EP da Silva, F Da Ros, D Zibar Optical Fiber Communication Conference, W2A. 48, 2017 | 29 | 2017 |
| Machine learning-based EDFA gain model generalizable to multiple physical devices F Da Ros, UC De Moura, MP Yankov 2020 European Conference on Optical Communications (ECOC), 1-4, 2020 | 28 | 2020 |
| Fingerprint entropy and identification capacity estimation based on pixel-level generative modelling MP Yankov, MA Olsen, MB Stegmann, SS Christensen, S Forchhammer IEEE Transactions on Information Forensics and Security 15, 56-65, 2019 | 28 | 2019 |
