Christian Häger

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 71

Top Venues

Chalmers University of Technology, Gothenburg, Sweden (PHD)

Education History

Chalmers University of Technology, Gothenburg, Sweden

PHD

Publications

Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat
Autoencoder-Based Unequal Error Protection Codes. CoRR (2023)
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)
Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat
Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability. ICC (2023)
Steven Rivetti, José Miguel Mateos-Ramos, Yibo Wu, Jinxiang Song, Musa Furkan Keskin, Vijaya Yajnanarayana, Christian Häger, Henk Wymeersch
Spatial Signal Design for Positioning via End-to-End Learning. IEEE Wirel. Commun. Lett. 12 (3) (2023)
Keren Liu, Erik Börjeson, Christian Häger, Per Larsson-Edefors
FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training. OFC (2023)
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 (2023)
Christian Häger, Erik Agrell
Data-Driven Estimation of Capacity Upper Bounds. IEEE Commun. Lett. 26 (12) (2022)
Keren Liu, Erik Börjeson, Christian Häger, Per Larsson-Edefors
FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training. CoRR (2022)
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 (2022)
José Miguel Mateos-Ramos, Jinxiang Song, Yibo Wu, Christian Häger, Musa Furkan Keskin, Vijaya Yajnanarayana, Henk Wymeersch
End-to-End Learning for Integrated Sensing and Communication. ICC (2022)
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)
Christian Häger, Erik Agrell
Data-Driven Upper Bounds on Channel Capacity. CoRR (2022)
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. IEEE Trans. Wirel. Commun. 21 (9) (2022)
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)
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 (2022)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Pruning and Quantizing Neural Belief Propagation Decoders. IEEE J. Sel. Areas Commun. 39 (7) (2021)
Zonglong He, Jinxiang Song, Christian Häger, Kovendhan Vijayan, Peter A. Andrekson, Magnus Karlsson, Alexandre Graell i Amat, Henk Wymeersch, Jochen Schröder
Symbol-Based Supervised Learning Predistortion for Compensating Transmitter Nonlinearity. ECOC (2021)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Learned Decimation for Neural Belief Propagation Decoders : Invited Paper. ICASSP (2021)
Jinxiang Song, Zonglong He, Christian Häger, Magnus Karlsson, Alexandre Graell i Amat, Henk Wymeersch, Jochen Schröder
Over-the-fiber Digital Predistortion Using Reinforcement Learning. ECOC (2021)
Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat
Autoencoder-Based Unequal Error Protection Codes. IEEE Commun. Lett. 25 (11) (2021)
Christian Häger, Henry D. Pfister
Physics-Based Deep Learning for Fiber-Optic Communication Systems. IEEE J. Sel. Areas Commun. 39 (1) (2021)
Jinxiang Song, Christian Häger, Jochen Schröder, Alexandre Graell i Amat, Henk Wymeersch
End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairment. OFC (2021)
Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat
Autoencoder-Based Unequal Error Protection Codes. CoRR (2021)
Jinxiang Song, Christian Häger, Jochen Schröder, Tim O'Shea, Henk Wymeersch
Benchmarking End-to-end Learning of MIMO Physical-Layer Communication. GLOBECOM (2020)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Pruning Neural Belief Propagation Decoders. CoRR (2020)
Mengke Lian, Christian Häger, Henry D. Pfister
Decoding Reed-Muller Codes Using Redundant Code Constraints. ISIT (2020)
Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado
Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. CoRR (2020)
Christian Häger, Henry D. Pfister
Physics-Based Deep Learning for Fiber-Optic Communication Systems. CoRR (2020)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Learned Decimation for Neural Belief Propagation Decoders. CoRR (2020)
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)
Jinxiang Song, Bile Peng, Christian Häger, Henk Wymeersch, Anant Sahai
Learning Physical-Layer Communication With Quantized Feedback. IEEE Trans. Commun. 68 (1) (2020)
Kadir Gümüs, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell
End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information. OFC (2020)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Pruning and Quantizing Neural Belief Propagation Decoders. CoRR (2020)
Rick M. Bütler, Christian Häger, Henry D. Pfister, Gabriele Liga, Alex Alvarado
Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. CoRR (2020)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Pruning Neural Belief Propagation Decoders. ISIT (2020)
Fabrizio Carpi, Christian Häger, Marco Martalò, Riccardo Raheli, Henry D. Pfister
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding. Allerton (2019)
Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation. CoRR (2019)
Jinxiang Song, Bile Peng, Christian Häger, Henk Wymeersch, Anant Sahai
Learning Physical-Layer Communication with Quantized Feedback. CoRR (2019)
Mengke Lian, Christian Häger, Henry D. Pfister
What Can Machine Learning Teach Us about Communications? CoRR (2019)
Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation. ISIT (2019)
Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado
Revisiting Multi-Step Nonlinearity Compensation with Machine Learning. CoRR (2019)
Fabrizio Carpi, Christian Häger, Marco Martalò, Riccardo Raheli, Henry D. Pfister
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding. CoRR (2019)
Kadir Gümüs, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell
End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information. CoRR (2019)
Shen Li, Christian Häger, Nil Garcia, Henk Wymeersch
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning. ECOC (2018)
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. ECOC (2018)
Christian Häger, Henry D. Pfister
Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications. ISIT (2018)
Christian Häger, Henry D. Pfister
Nonlinear Interference Mitigation via Deep Neural Networks. OFC (2018)
Mengke Lian, Christian Häger, Henry D. Pfister
What Can Machine Learning Teach Us about Communications? ITW (2018)
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 (2018)
Christian Häger, Henry D. Pfister
Approaching Miscorrection-Free Performance of Product Codes With Anchor Decoding. IEEE Trans. Commun. 66 (7) (2018)
Christian Häger, Henry D. Pfister
Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. CoRR (2018)
Christian Häger, Henry D. Pfister
Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. ECOC (2018)
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. ISTC (2018)
Christian Häger, Henry D. Pfister
Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications. CoRR (2018)
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 (2018)
Elia Santi, Christian Häger, Henry D. Pfister
Decoding Reed-Muller Codes Using Minimum- Weight Parity Checks. ISIT (2018)
Shen Li, Christian Häger, Nil Garcia, Henk Wymeersch
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning. CoRR (2018)
Elia Santi, Christian Häger, Henry D. Pfister
Decoding Reed-Muller Codes Using Minimum-Weight Parity Checks. CoRR (2018)
Christian Häger, Henry D. Pfister
Miscorrection-free Decoding of Staircase Codes. CoRR (2017)
Christian Häger, Henry D. Pfister
Nonlinear Interference Mitigation via Deep Neural Networks. CoRR (2017)
Christian Häger, Henry D. Pfister
Approaching Miscorrection-free Performance of Product and Generalized Product Codes. CoRR (2017)
Christian Häger, Henry D. Pfister
Miscorrection-free Decoding of Staircase Codes. ECOC (2017)
Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brannstrom
Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel at High Rates. IEEE Trans. Inf. Theory 63 (7) (2017)
Mikhail Ivanov, Christian Häger, Fredrik Brannstrom, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell
On the Information Loss of the Max-Log Approximation in BICM Systems. IEEE Trans. Inf. Theory 62 (6) (2016)
Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brannstrom
Density evolution and error floor analysis for staircase and braided codes. OFC (2016)
Christian Häger, Alexandre Graell i Amat, Henry D. Pfister, Fredrik Brannstrom
Density evolution for deterministic generalized product codes with higher-order modulation. ISTC (2016)
Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brannstrom
Deterministic and ensemble-based spatially-coupled product codes. ISIT (2016)
Christian Häger, Alexandre Graell i Amat, Henry D. Pfister, Fredrik Brännström
Density Evolution for Deterministic Generalized Product Codes with Higher-Order Modulation. CoRR (2016)
Christian Häger, Alexandre Graell i Amat, Henry D. Pfister, Alex Alvarado, Fredrik Brannstrom, Erik Agrell
On parameter optimization for staircase codes. OFC (2015)
Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brännström
Deterministic and Ensemble-Based Spatially-Coupled Product Codes. CoRR (2015)
Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brännström
Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel. CoRR (2015)
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 (2014)
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. IEEE Commun. Lett. 18 (2) (2014)
Christian Häger, Alexandre Graell i Amat, Fredrik Brannstrom, Alex Alvarado, Erik Agrell
Comparison of terminated and tailbiting spatially coupled LDPC codes with optimized bit mapping for PM-64-QAM. ECOC (2014)
Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Fredrik Brannstrom, Erik Agrell
Optimized bit mappings for spatially coupled LDPC codes over parallel binary erasure channels. ICC (2014)
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 (2014)
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 (2014)
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 (2013)
Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell
Design of APSK Constellations for Coherent Optical Channels with Nonlinear Phase Noise. IEEE Trans. Commun. 61 (8) (2013)
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 (2013)
Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell
Design of APSK Constellations for Coherent Optical Channels with Nonlinear Phase Noise CoRR (2012)
Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell
Constellation optimization for coherent optical channels distorted by nonlinear phase noise. GLOBECOM (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christian Häger