Christian Häger

Orcid: 0000-0002-5155-8018

According to our database1, Christian Häger authored at least 55 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Spatial Signal Design for Positioning via End-to-End Learning.
IEEE Wirel. Commun. Lett., March, 2023

Belief Propagation Decoding of Quantum LDPC Codes with Guided Decimation.
CoRR, 2023

FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability.
Proceedings of the IEEE International Conference on Communications, 2023

Model-Driven End-to-End Learning for Integrated Sensing and Communication.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Benchmarking and Interpreting End-to-End Learning of MIMO and Multi-User Communication.
IEEE Trans. Wirel. Commun., 2022

Data-Driven Estimation of Capacity Upper Bounds.
IEEE Commun. Lett., 2022

End-to-End Learning for VCSEL-based Optical Interconnects: State-of-the-Art, Challenges, and Opportunities.
CoRR, 2022

Data-Driven Upper Bounds on Channel Capacity.
CoRR, 2022

Experimental Demonstration of Learned Pulse Shaping Filter for Superchannels.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2022

End-to-End Learning for Integrated Sensing and Communication.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Physics-Based Deep Learning for Fiber-Optic Communication Systems.
IEEE J. Sel. Areas Commun., 2021

Pruning and Quantizing Neural Belief Propagation Decoders.
IEEE J. Sel. Areas Commun., 2021

Autoencoder-Based Unequal Error Protection Codes.
IEEE Commun. Lett., 2021

End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairment.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

Learned Decimation for Neural Belief Propagation Decoders : Invited Paper.
Proceedings of the IEEE International Conference on Acoustics, 2021

Over-the-fiber Digital Predistortion Using Reinforcement Learning.
Proceedings of the European Conference on Optical Communication, 2021

Symbol-Based Supervised Learning Predistortion for Compensating Transmitter Nonlinearity.
Proceedings of the European Conference on Optical Communication, 2021

2020
Learning Physical-Layer Communication With Quantized Feedback.
IEEE Trans. Commun., 2020

Learned Decimation for Neural Belief Propagation Decoders.
CoRR, 2020

Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Decoding Reed-Muller Codes Using Redundant Code Constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Pruning Neural Belief Propagation Decoders.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Benchmarking End-to-end Learning of MIMO Physical-Layer Communication.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Revisiting Multi-Step Nonlinearity Compensation with Machine Learning.
CoRR, 2019

Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Approaching Miscorrection-Free Performance of Product Codes With Anchor Decoding.
IEEE Trans. Commun., 2018

Nonlinear Interference Mitigation via Deep Neural Networks.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

What Can Machine Learning Teach Us about Communications?
Proceedings of the IEEE Information Theory Workshop, 2018

On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems.
Proceedings of the 10th IEEE International Symposium on Turbo Codes & Iterative Information Processing, 2018

Decoding Reed-Muller Codes Using Minimum- Weight Parity Checks.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning.
Proceedings of the European Conference on Optical Communication, 2018

Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning.
Proceedings of the European Conference on Optical Communication, 2018

ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters.
Proceedings of the European Conference on Optical Communication, 2018

2017
Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel at High Rates.
IEEE Trans. Inf. Theory, 2017

Approaching Miscorrection-free Performance of Product and Generalized Product Codes.
CoRR, 2017

Miscorrection-free Decoding of Staircase Codes.
Proceedings of the European Conference on Optical Communication, 2017

2016
Analysis and Design of Spatially-Coupled Codes with Application to Fiber-Optical Communications.
PhD thesis, 2016

On the Information Loss of the Max-Log Approximation in BICM Systems.
IEEE Trans. Inf. Theory, 2016

Density evolution and error floor analysis for staircase and braided codes.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

Density evolution for deterministic generalized product codes with higher-order modulation.
Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016

Deterministic and ensemble-based spatially-coupled product codes.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel.
CoRR, 2015

On parameter optimization for staircase codes.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2015

2014
A Low-Complexity Detector for Memoryless Polarization-Multiplexed Fiber-Optical Channels.
IEEE Commun. Lett., 2014

Terminated and Tailbiting Spatially Coupled Codes with Optimized Bit Mappings for Spectrally Efficient Fiber-Optical Systems.
CoRR, 2014

Improving Soft FEC Performance for Higher-Order Modulations by Bit Mapper Optimization.
CoRR, 2014

Optimized bit mappings for spatially coupled LDPC codes over parallel binary erasure channels.
Proceedings of the IEEE International Conference on Communications, 2014

Comparison of terminated and tailbiting spatially coupled LDPC codes with optimized bit mapping for PM-64-QAM.
Proceedings of the European Conference on Optical Communication, 2014

2013
Design of APSK Constellations for Coherent Optical Channels with Nonlinear Phase Noise.
IEEE Trans. Commun., 2013

2012
Constellation optimization for coherent optical channels distorted by nonlinear phase noise.
Proceedings of the 2012 IEEE Global Communications Conference, 2012


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