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Christian Häger
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2020 – today
- 2024
- [c37]Hanwen Yao, Waleed Abu Laban, Christian Häger, Alexandre Graell i Amat, Henry D. Pfister:
Belief Propagation Decoding of Quantum LDPC Codes with Guided Decimation. ISIT 2024: 2478-2483 - [c36]Erik Börjeson, Keren Liu, Christian Häger, Per Larsson-Edefors:
Real-Time Implementation of Machine-Learning DSP. OFC 2024: 1-3 - [c35]Mohammad Farsi, Christian Häger, Magnus Karlsson, Erik Agrell:
Learning to Extract Distributed Polarization Sensing Data from Noisy Jones Matrices. OFC 2024: 1-3 - [i40]Alireza Bordbar, Lise Aabel, Christian Häger, Christian Fager, Giuseppe Durisi:
Deep-Learning-Based Channel Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul. CoRR abs/2406.11325 (2024) - [i39]Vukan Ninkovic, Ognjen Kundacina, Dejan Vukobratovic, Christian Häger, Alexandre Graell i Amat:
Decoding Quantum LDPC Codes Using Graph Neural Networks. CoRR abs/2408.05170 (2024) - [i38]Baptiste Chatelier, José Miguel Mateos-Ramos, Vincent Corlay, Christian Häger, Matthieu Crussière, Henk Wymeersch, Luc Le Magoarou:
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays. CoRR abs/2411.15144 (2024) - 2023
- [j12]Steven Rivetti
, José Miguel Mateos-Ramos
Spatial Signal Design for Positioning via End-to-End Learning. IEEE Wirel. Commun. Lett. 12(3): 525-529 (2023) - [c34]José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch:
Model-Driven End-to-End Learning for Integrated Sensing and Communication. ICC 2023: 5695-5700 - [c33]Vukan Ninkovic
Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability. ICC 2023: 6361-6366 - [c32]Alireza Bordbar, Lise Aabel, Christian Häger, Christian Fager, Giuseppe Durisi:
Deep-Learning-Based Channel Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul. ISWCS 2023: 1-5 - [c31]Keren Liu, Erik Börjeson, Christian Häger, Per Larsson-Edefors:
FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training. OFC 2023: 1-3 - [i37]Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat:
Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability. CoRR abs/2301.12231 (2023) - [i36]Hanwen Yao, Waleed Abu Laban, Christian Häger, Alexandre Graell i Amat, Henry D. Pfister:
Belief Propagation Decoding of Quantum LDPC Codes with Guided Decimation. CoRR abs/2312.10950 (2023) - 2022
- [j11]Christian Häger
Data-Driven Estimation of Capacity Upper Bounds. IEEE Commun. Lett. 26(12): 2939-2943 (2022) - [j10]Jinxiang Song
Benchmarking and Interpreting End-to-End Learning of MIMO and Multi-User Communication. IEEE Trans. Wirel. Commun. 21(9): 7287-7298 (2022) - [c30]José Miguel Mateos-Ramos
End-to-End Learning for Integrated Sensing and Communication. ICC 2022: 1942-1947 - [c29]Yibo Wu, Jinxiang Song, Christian Häger, Ulf Gustavsson, Alexandre Graell i Amat, Henk Wymeersch
Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning. ICC 2022: 2615-2620 - [c28]Zonglong He, Jinxiang Song, Christian Häger, Alexandre Graell i Amat, Henk Wymeersch, Peter A. Andrekson, Magnus Karlsson, Jochen Schröder:
Experimental Demonstration of Learned Pulse Shaping Filter for Superchannels. OFC 2022: 1-3 - [i35]Jinxiang Song, Christian Häger, Jochen Schröder, Timothy J. O'Shea, Erik Agrell, Henk Wymeersch:
Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication. CoRR abs/2203.07703 (2022) - [i34]Christian Häger, Erik Agrell:
Data-Driven Upper Bounds on Channel Capacity. CoRR abs/2205.06471 (2022) - [i33]Muralikrishnan Srinivasan, Jinxiang Song, Alexander Grabowski, Krzysztof Szczerba, Holger K. Iversen, Mikkel N. Schmidt, Darko Zibar, Jochen Schröder, Anders Larsson, Christian Häger, Henk Wymeersch:
End-to-End Learning for VCSEL-based Optical Interconnects: State-of-the-Art, Challenges, and Opportunities. CoRR abs/2211.14481 (2022) - [i32]Keren Liu, Erik Börjeson, Christian Häger, Per Larsson-Edefors:
FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training. CoRR abs/2212.03515 (2022) - 2021
- [j9]Vukan Ninkovic
Autoencoder-Based Unequal Error Protection Codes. IEEE Commun. Lett. 25(11): 3575-3579 (2021) - [j8]Christian Häger
Physics-Based Deep Learning for Fiber-Optic Communication Systems. IEEE J. Sel. Areas Commun. 39(1): 280-294 (2021) - [j7]Andreas Buchberger
Pruning and Quantizing Neural Belief Propagation Decoders. IEEE J. Sel. Areas Commun. 39(7): 1957-1966 (2021) - [c27]Zonglong He
Symbol-Based Supervised Learning Predistortion for Compensating Transmitter Nonlinearity. ECOC 2021: 1-4 - [c26]Jinxiang Song, Zonglong He
Over-the-fiber Digital Predistortion Using Reinforcement Learning. ECOC 2021: 1-4 - [c25]Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat:
Learned Decimation for Neural Belief Propagation Decoders : Invited Paper. ICASSP 2021: 8273-8277 - [c24]Jinxiang Song, Christian Häger, Jochen Schröder, Alexandre Graell i Amat, Henk Wymeersch:
End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairment. OFC 2021: 1-3 - [i31]Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat:
Autoencoder-Based Unequal Error Protection Codes. CoRR abs/2104.08190 (2021) - 2020
- [j6]Jinxiang Song
Learning Physical-Layer Communication With Quantized Feedback. IEEE Trans. Commun. 68(1): 645-653 (2020) - [c23]Jinxiang Song, Christian Häger, Jochen Schröder, Tim O'Shea, Henk Wymeersch
Benchmarking End-to-end Learning of MIMO Physical-Layer Communication. GLOBECOM 2020: 1-6 - [c22]Mengke Lian, Christian Häger, Henry D. Pfister:
Decoding Reed-Muller Codes Using Redundant Code Constraints. ISIT 2020: 42-47 - [c21]Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat:
Pruning Neural Belief Propagation Decoders. ISIT 2020: 338-342 - [c20]Kadir Gümüs, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell:
End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information. OFC 2020: 1-3 - [c19]Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado:
Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. OFC 2020: 1-3 - [i30]Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat:
Pruning Neural Belief Propagation Decoders. CoRR abs/2001.07464 (2020) - [i29]Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado:
Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. CoRR abs/2001.09277 (2020) - [i28]Rick M. Bütler, Christian Häger, Henry D. Pfister, Gabriele Liga, Alex Alvarado:
Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. CoRR abs/2010.12313 (2020) - [i27]Christian Häger, Henry D. Pfister:
Physics-Based Deep Learning for Fiber-Optic Communication Systems. CoRR abs/2010.14258 (2020) - [i26]Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat:
Learned Decimation for Neural Belief Propagation Decoders. CoRR abs/2011.02161 (2020) - [i25]Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat:
Pruning and Quantizing Neural Belief Propagation Decoders. CoRR abs/2011.13594 (2020)
2010 – 2019
- 2019
- [c18]Fabrizio Carpi
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding. Allerton 2019: 922-929 - [c17]Mengke Lian, Fabrizio Carpi
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation. ISIT 2019: 161-165 - [i24]Mengke Lian, Christian Häger, Henry D. Pfister:
What Can Machine Learning Teach Us about Communications? CoRR abs/1901.07592 (2019) - [i23]Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister:
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation. CoRR abs/1901.08621 (2019) - [i22]Jinxiang Song, Bile Peng, Christian Häger, Henk Wymeersch, Anant Sahai:
Learning Physical-Layer Communication with Quantized Feedback. CoRR abs/1904.09252 (2019) - [i21]Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado:
Revisiting Multi-Step Nonlinearity Compensation with Machine Learning. CoRR abs/1904.09807 (2019) - [i20]Fabrizio Carpi, Christian Häger, Marco Martalò, Riccardo Raheli, Henry D. Pfister:
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding. CoRR abs/1906.04448 (2019) - [i19]Kadir Gümüs, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell:
End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information. CoRR abs/1912.05638 (2019) - 2018
- [j5]Christian Häger
Approaching Miscorrection-Free Performance of Product Codes With Anchor Decoding. IEEE Trans. Commun. 66(7): 2797-2808 (2018) - [c16]Christoffer Fougstedt, Christian Häger
ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters. ECOC 2018: 1-3 - [c15]Christian Häger
Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. ECOC 2018: 1-3 - [c14]Shen Li, Christian Häger
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning. ECOC 2018: 1-3 - [c13]Elia Santi, Christian Häger
Decoding Reed-Muller Codes Using Minimum- Weight Parity Checks. ISIT 2018: 1296-1300 - [c12]Christian Häger
Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications. ISIT 2018: 1590-1594 - [c11]Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva, Christian Häger
On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems. ISTC 2018: 1-5 - [c10]Mengke Lian, Christian Häger
What Can Machine Learning Teach Us about Communications? ITW 2018: 1-5 - [c9]Christian Häger, Henry D. Pfister:
Nonlinear Interference Mitigation via Deep Neural Networks. OFC 2018: 1-3 - [i18]Christian Häger, Henry D. Pfister:
Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications. CoRR abs/1804.02799 (2018) - [i17]Shen Li, Christian Häger, Nil Garcia, Henk Wymeersch:
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning. CoRR abs/1804.07675 (2018) - [i16]Elia Santi, Christian Häger, Henry D. Pfister:
Decoding Reed-Muller Codes Using Minimum-Weight Parity Checks. CoRR abs/1804.10319 (2018) - [i15]Christoffer Fougstedt, Christian Häger, Lars J. Svensson, Henry D. Pfister, Per Larsson-Edefors:
ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters. CoRR abs/1806.07223 (2018) - [i14]Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva, Christian Häger, Henry D. Pfister:
On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems. CoRR abs/1806.10903 (2018) - [i13]Christian Häger, Henry D. Pfister:
Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. CoRR abs/1807.01545 (2018) - 2017
- [j4]Christian Häger
Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel at High Rates. IEEE Trans. Inf. Theory 63(7): 4357-4378 (2017) - [c8]Christian Häger
Miscorrection-free Decoding of Staircase Codes. ECOC 2017: 1-3 - [i12]Christian Häger, Henry D. Pfister:
Miscorrection-free Decoding of Staircase Codes. CoRR abs/1709.06827 (2017) - [i11]Christian Häger, Henry D. Pfister:
Nonlinear Interference Mitigation via Deep Neural Networks. CoRR abs/1710.06234 (2017) - [i10]Christian Häger, Henry D. Pfister:
Approaching Miscorrection-free Performance of Product and Generalized Product Codes. CoRR abs/1711.07805 (2017) - 2016
- [b1]Christian Häger:
Analysis and Design of Spatially-Coupled Codes with Application to Fiber-Optical Communications. Chalmers University of Technology, Gothenburg, Sweden, 2016 - [j3]Mikhail Ivanov, Christian Häger
On the Information Loss of the Max-Log Approximation in BICM Systems. IEEE Trans. Inf. Theory 62(6): 3011-3025 (2016) - [c7]Christian Häger
Deterministic and ensemble-based spatially-coupled product codes. ISIT 2016: 2114-2118 - [c6]Christian Häger
Density evolution for deterministic generalized product codes with higher-order modulation. ISTC 2016: 236-240 - [c5]Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brannstrom:
Density evolution and error floor analysis for staircase and braided codes. OFC 2016: 1-3 - [i9]Christian Häger, Alexandre Graell i Amat, Henry D. Pfister, Fredrik Brännström:
Density Evolution for Deterministic Generalized Product Codes with Higher-Order Modulation. CoRR abs/1604.06553 (2016) - 2015
- [c4]Christian Häger
On parameter optimization for staircase codes. OFC 2015: 1-3 - [i8]Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brännström:
Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel. CoRR abs/1512.00433 (2015) - [i7]Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brännström:
Deterministic and Ensemble-Based Spatially-Coupled Product Codes. CoRR abs/1512.09180 (2015) - 2014
- [j2]Christian Häger
A Low-Complexity Detector for Memoryless Polarization-Multiplexed Fiber-Optical Channels. IEEE Commun. Lett. 18(2): 368-371 (2014) - [c3]Christian Häger
Comparison of terminated and tailbiting spatially coupled LDPC codes with optimized bit mapping for PM-64-QAM. ECOC 2014: 1-3 - [c2]Christian Häger
Optimized bit mappings for spatially coupled LDPC codes over parallel binary erasure channels. ICC 2014: 2064-2069 - [i6]Christian Häger, Alexandre Graell i Amat, Fredrik Brännström, Alex Alvarado, Erik Agrell:
Improving Soft FEC Performance for Higher-Order Modulations by Bit Mapper Optimization. CoRR abs/1404.2269 (2014) - [i5]Mikhail Ivanov, Christian Häger, Fredrik Brännström, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell:
On the Information Loss of the Max-Log Approximation in BICM Systems. CoRR abs/1408.2214 (2014) - [i4]Christian Häger, Alexandre Graell i Amat, Fredrik Brännström, Alex Alvarado, Erik Agrell:
Terminated and Tailbiting Spatially Coupled Codes with Optimized Bit Mappings for Spectrally Efficient Fiber-Optical Systems. CoRR abs/1410.0277 (2014) - 2013
- [j1]Christian Häger
Design of APSK Constellations for Coherent Optical Channels with Nonlinear Phase Noise. IEEE Trans. Commun. 61(8): 3362-3373 (2013) - [i3]Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Fredrik Brännström, Erik Agrell:
Optimized Bit Mappings for Spatially Coupled LDPC Codes over Parallel Binary Erasure Channels. CoRR abs/1309.7583 (2013) - [i2]Christian Häger, Lotfollah Beygi, Erik Agrell, Pontus Johannisson, Magnus Karlsson, Alexandre Graell i Amat:
A Low-Complexity Detector for Memoryless Polarization-Multiplexed Fiber-Optical Channels. CoRR abs/1312.3092 (2013) - 2012
- [c1]Christian Häger
Constellation optimization for coherent optical channels distorted by nonlinear phase noise. GLOBECOM 2012: 2870-2875 - [i1]Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell:
Design of APSK Constellations for Coherent Optical Channels with Nonlinear Phase Noise. CoRR abs/1209.5221 (2012)
Coauthor Index
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