Nonlinear interference mitigation via deep neural networks C Häger, HD Pfister Optical fiber communication conference, W3A. 4, 2018 | 199 | 2018 |
Physics-based deep learning for fiber-optic communication systems C Häger, HD Pfister IEEE Journal on Selected Areas in Communications 39 (1), 280-294, 2020 | 89 | 2020 |
Achievable information rates for nonlinear fiber communication via end-to-end autoencoder learning S Li, C Häger, N Garcia, H Wymeersch 2018 European Conference on Optical Communication (ECOC), 1-3, 2018 | 85 | 2018 |
Pruning and quantizing neural belief propagation decoders A Buchberger, C Häger, HD Pfister, L Schmalen, AG i Amat IEEE Journal on Selected Areas in Communications 39 (7), 1957-1966, 2020 | 72* | 2020 |
Design of APSK constellations for coherent optical channels with nonlinear phase noise C Häger, A Graell i Amat, A Alvarado, E Agrell IEEE Trans. Commun. 61 (8), 3362-3373, 2013 | 68* | 2013 |
Approaching miscorrection-free performance of product codes with anchor decoding C Häger, HD Pfister IEEE Transactions on Communications 66 (7), 2797-2808, 2018 | 66* | 2018 |
End-to-end learning of geometrical shaping maximizing generalized mutual information K Gümüş, A Alvarado, B Chen, C Häger, E Agrell 2020 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2020 | 64 | 2020 |
Learned belief-propagation decoding with simple scaling and SNR adaptation M Lian, F Carpi, C Häger, HD Pfister 2019 IEEE International Symposium on Information Theory (ISIT), 161-165, 2019 | 62 | 2019 |
Deep learning of the nonlinear Schrödinger equation in fiber-optic communications C Häger, HD Pfister 2018 IEEE International Symposium on Information Theory (ISIT), 1590-1594, 2018 | 53 | 2018 |
Reinforcement learning for channel coding: Learned bit-flipping decoding F Carpi, C Häger, M Martalò, R Raheli, HD Pfister 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 49 | 2019 |
Revisiting efficient multi-step nonlinearity compensation with machine learning: An experimental demonstration V Oliari, S Goossens, C Häger, G Liga, RM Bütler, M van den Hout, ... Journal of Lightwave Technology 38 (12), 3114-3124, 2020 | 48 | 2020 |
Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel at High Rates C Häger, HD Pfister, A Graell i Amat, F Brännström IEEE Trans. Inf. Theory 63 (7), 4357-4378, 2017 | 48* | 2017 |
Terminated and Tailbiting Spatially Coupled Codes With Optimized Bit Mappings for Spectrally Efficient Fiber-Optical Systems C Häger, A Graell i Amat, F Brännström, A Alvarado, E Agrell Journal of Lightwave Technology 33 (7), 1275-1285, 2015 | 48* | 2015 |
Model-based machine learning for joint digital backpropagation and PMD compensation RM Bütler, C Häger, HD Pfister, G Liga, A Alvarado Journal of Lightwave Technology 39 (4), 949-959, 2020 | 42 | 2020 |
Decoding Reed-Muller codes using minimum-weight parity checks E Santi, C Hager, HD Pfister 2018 IEEE International Symposium on Information Theory (ISIT), 1296-1300, 2018 | 41 | 2018 |
Decoding Reed–Muller codes using redundant code constraints M Lian, C Häger, HD Pfister 2020 IEEE International Symposium on Information Theory (ISIT), 42-47, 2020 | 32 | 2020 |
On Parameter Optimization for Staircase Codes C Häger, A Graell i Amat, HD Pfister, A Alvarado, F Brännström, E Agrell Proc. Optical Fiber Communication Conf. and Exposition (OFC), 2015 | 28 | 2015 |
On the information loss of the max-log approximation in BICM systems M Ivanov, C Häger, F Brännström, A Graell i Amat, A Alvarado, E Agrell IEEE Transactions on Information Theory 62 (6), 3011-3025, 2016 | 27 | 2016 |
On low-complexity decoding of product codes for high-throughput fiber-optic systems A Sheikh, AG i Amat, G Liva, C Hager, HD Pfister 2018 IEEE 10th International Symposium on Turbo Codes & Iterative …, 2018 | 23 | 2018 |
ASIC implementation of time-domain digital backpropagation with deep-learned chromatic dispersion filters C Fougstedt, C Häger, L Svensson, HD Pfister, P Larsson-Edefors 2018 European Conference on Optical Communication (ECOC), 1-3, 2018 | 23 | 2018 |