Laurent Schmalen

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 137

Top Venues

Publications

Jonathan Mandelbaum, Sisi Miao, Holger Jäkel, Laurent Schmalen
Endomorphisms of Linear Block Codes. CoRR (2024)
Sisi Miao, Jonathan Mandelbaum, Holger Jäkel, Laurent Schmalen
A Joint Code and Belief Propagation Decoder Design for Quantum LDPC Codes. CoRR (2024)
Erdem Eray Cil, Laurent Schmalen
Log-Log Domain Sum-Product Algorithm for Information Reconciliation in Continuous-Variable Quantum Key Distribution. CoRR (2024)
Frederik Ritter, Andrej Rode, Laurent Schmalen
Introducing RSESS: An Open Source Enumerative Sphere Shaping Implementation Coded in Rust. CoRR (2024)
Sisi Miao, Jonathan Mandelbaum, Lukas Rapp, Holger Jäkel, Laurent Schmalen
Performance Analysis of Generalized Product Codes with Irregular Degree Distribution. CoRR (2024)
Vincent Lauinger, Patrick Matalla, Jonas Ney, Norbert Wehn, Sebastian Randel, Laurent Schmalen
Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networks. CoRR (2024)
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs. CoRR (2024)
Alexander von Bank, Eike-Manuel Edelmann, Laurent Schmalen
Spiking Neural Network Decision Feedback Equalization for IM/DD Systems. CoRR (2023)
Vincent Lauinger, Fred Buchali, Laurent Schmalen
Improving the Bootstrap of Blind Equalizers with Variational Autoencoders. CoRR (2023)
Jonathan Mandelbaum, Holger Jäkel, Laurent Schmalen
Generalized Automorphisms of Channel Codes: Properties, Code Design, and a Decoder. CoRR (2023)
Sisi Miao, Alexander Schnerring, Haizheng Li, Laurent Schmalen
Neural Belief Propagation Decoding of Quantum LDPC Codes Using Overcomplete Check Matrices. ITW (2023)
Jonathan Mandelbaum, Holger Jäkel, Laurent Schmalen
Generalized Automorphisms of Channel Codes: Properties, Code Design, and a Decoder. ISTC (2023)
Jonas Ney, Vincent Lauinger, Laurent Schmalen, Norbert Wehn
Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation. CoRR (2023)
Jonas Ney, Vincent Lauinger, Laurent Schmalen, Norbert Wehn
Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation. EuCNC/6G Summit (2023)
Andrej Rode, Laurent Schmalen
Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels. OFC (2023)
Luca Schmid, Joshua Brenk, Laurent Schmalen
Local Message Passing on Frustrated Systems. UAI (2023)
Andrej Rode, Wintana Araya Gebrehiwot, Shrinivas Chimmalgi, Laurent Schmalen
Optimized Geometric Constellation Shaping for Wiener Phase Noise Channels with Viterbi-Viterbi Carrier Phase Estimation. CoRR (2023)
Shrinivas Chimmalgi, Andrej Rode, Luca Schmid, Laurent Schmalen
Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation. CoRR (2023)
Lukas Rapp, Luca Schmid, Andrej Rode, Laurent Schmalen
Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning. ICASSP (2023)
Haizheng Li, Laurent Schmalen
A Spatially Coupled LDPC Coding Scheme with Scalable Decoders for Space Division Multiplexing. CoRR (2023)
Jonas Ney, Christoph Füllner, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn
From Algorithm to Implementation: Enabling High-Throughput CNN-Based Equalization on FPGA for Optical Communications. SAMOS (2023)
Vincent Lauinger, Fred Buchali, Laurent Schmalen
Improving the Bootstrap of Blind Equalizers with Variational Autoencoders. OFC (2023)
Luca Schmid, Joshua Brenk, Laurent Schmalen
Local Message Passing on Frustrated Systems. CoRR (2023)
Erdem Eray Cil, Laurent Schmalen
Iteration-Dependent Scaled Min-Sum Decoding for Low-Complexity Key Reconciliation in CV-QKD. CoRR (2023)
Alexander von Bank, Eike-Manuel Edelmann, Laurent Schmalen
Energy-efficient Spiking Neural Network Equalization for IM/DD Systems with Optimized Neural Encoding. CoRR (2023)
Sisi Miao, Alexander Schnerring, Haizheng Li, Laurent Schmalen
Quaternary Neural Belief Propagation Decoding of Quantum LDPC Codes with Overcomplete Check Matrices. CoRR (2023)
Sisi Miao, Lukas Rapp, Laurent Schmalen
Improved Soft-aided Error-and-erasure Decoding of Product Codes with Dynamic Reliability Scores. OFC (2022)
Sisi Miao, Lukas Rapp, Laurent Schmalen
Error-and-erasure Decoding of Product and Staircase Codes with Simplified Extrinsic Message Passing. ISIT (2022)
Luca Schmid, Laurent Schmalen
Low-Complexity Near-Optimum Symbol Detection Based on Neural Enhancement of Factor Graphs. IEEE Trans. Commun. 70 (11) (2022)
Vincent Lauinger, Fred Buchali, Laurent Schmalen
Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders. CoRR (2022)
Lukas Rapp, Laurent Schmalen
Error-and-Erasure Decoding of Product and Staircase Codes. IEEE Trans. Commun. 70 (1) (2022)
Luca Schmid, Laurent Schmalen
Neural Enhancement of Factor Graph-based Symbol Detection. CoRR (2022)
Johannes Voigt, Holger Jäkel, Laurent Schmalen
Semi-Deterministic Subspace Selection for Sparse Recursive Projection-Aggregation Decoding of Reed-Muller Codes. CoRR (2022)
Vincent Lauinger, Fred Buchali, Laurent Schmalen
Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders. IEEE J. Sel. Areas Commun. 40 (9) (2022)
Sisi Miao, Lukas Rapp, Laurent Schmalen
Improved Soft-aided Decoding of Product Codes with Adaptive Performance-Complexity Trade-off. CoRR (2022)
Eike-Manuel Bansbach, Yigit Kiyak, Laurent Schmalen
Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information. CoRR (2022)
Sisi Miao, Lukas Rapp, Laurent Schmalen
Error-and-erasure Decoding of Product and Staircase Codes with Simplified Extrinsic Message Passing. CoRR (2022)
Andrej Rode, Benedikt Geiger, Shrinivas Chimmalgi, Laurent Schmalen
End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search. CoRR (2022)
Luca Schmid, Laurent Schmalen
Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs. CoRR (2022)
Andrej Rode, Laurent Schmalen
Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters. CoRR (2022)
Laurent Schmalen
Performance Metrics for Communication Systems with Forward Error Correction. CoRR (2022)
Luca Schmid, Laurent Schmalen
Neural Enhancement of Factor Graph-based Symbol Detection. SPAWC (2022)
Andrej Rode, Benedikt Geiger, Laurent Schmalen
Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search. OFC (2022)
Eike-Manuel Bansbach, Alexander von Bank, Laurent Schmalen
Spiking Neural Network Decision Feedback Equalization. CoRR (2022)
Sisi Miao, Alexander Schnerring, Haizheng Li, Laurent Schmalen
Neural Belief Propagation Decoding of Quantum LDPC Codes Using Overcomplete Check Matrices. CoRR (2022)
Sisi Miao, Lukas Rapp, Laurent Schmalen
Improved Soft-aided Decoding of Product Codes with Dynamic Reliability Scores. CoRR (2022)
Lukas Rapp, Luca Schmid, Andrej Rode, Laurent Schmalen
Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning. CoRR (2022)
Andrej Rode, Laurent Schmalen
Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels. CoRR (2022)
Vincent Lauinger, Manuel Hoffmann, Jonas Ney, Norbert Wehn, Laurent Schmalen
Blind and Channel-agnostic Equalization Using Adversarial Networks. GLOBECOM (2022)
Laurent Schmalen, Tobias A. Eriksson, Fred Buchali, Roman Dischler, Ulrich Gebhard
Distributed Transmission and Spatially Coupled Forward Error Correction in Regenerative Multipoint-to-Point Networks. CoRR (2022)
Vincent Lauinger, Manuel Hoffmann, Jonas Ney, Norbert Wehn, Laurent Schmalen
Blind and Channel-agnostic Equalization Using Adversarial Networks. CoRR (2022)
Lukas Rapp, Laurent Schmalen
Error-and-Erasure Decoding of Product and Staircase Codes. CoRR (2021)
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)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Learned Decimation for Neural Belief Propagation Decoders : Invited Paper. ICASSP (2021)
Kadir Gümüs, Laurent Schmalen
Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution. CoRR (2021)
Sisi Miao, Lukas Rapp, Laurent Schmalen
Improved Soft-aided Error-and-erasure Decoding of Product Codes with Dynamic Reliability Scores. CoRR (2021)
Kadir Gümüs, Laurent Schmalen
Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution. ISWCS (2021)
Boris Karanov, Laurent Schmalen, Alex Alvarado
Distance-Agnostic Auto-Encoders for Short Reach Fiber Communications. OFC (2021)
Eike-Manuel Bansbach, Victor Eliachevitch, Laurent Schmalen
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information. CoRR (2021)
Eike-Manuel Bansbach, Victor Eliachevitch, Laurent Schmalen
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information. GLOBECOM (2021)
Andrej Rode, Benedikt Geiger, Laurent Schmalen
Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search. CoRR (2021)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Pruning Neural Belief Propagation Decoders. CoRR (2020)
Boris Karanov, Mathieu Chagnon, Vahid Aref, Filipe Ferreira, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications. SiPS (2020)
Boris Karanov, Mathieu Chagnon, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model. OFC (2020)
Boris Karanov, Mathieu Chagnon, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
Optical Fiber Communication Systems Based on End-to-End Deep Learning. CoRR (2020)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Learned Decimation for Neural Belief Propagation Decoders. CoRR (2020)
Boris Karanov, Mathieu Chagnon, Vahid Aref, Filipe Ferreira, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications. CoRR (2020)
Boris Karanov, Vinícius Oliari, Mathieu Chagnon, Gabriele Liga, Alex Alvarado, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
End-to-End Learning in Optical Fiber Communications: Experimental Demonstration and Future Trends. ECOC (2020)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Pruning and Quantizing Neural Belief Propagation Decoders. CoRR (2020)
Tobias A. Eriksson, Ruben S. Luís, Georg Rademacher, Benjamin J. Puttnam, Kadir Gümüs, Laurent Schmalen, Alex Alvarado, Hideaki Furukawa, Naoya Wada, Takuya Hirano, Masahide Sasaki, Masahiro Takeoka
Challenges in Coding, DSP and Parallel Operation of Quantum Key Distribution and Coherent Data Transmission. ECOC (2020)
Boris Karanov, Polina Bayvel, Laurent Schmalen
End-to-End Learning in Optical Fiber Communications: Concept and Transceiver Design. ECOC (2020)
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Pruning Neural Belief Propagation Decoders. ISIT (2020)
Boris Karanov, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks. CoRR (2019)
Laurent Schmalen, Vahid Aref
Spatially Coupled LDPC Codes with Non-uniform Coupling for Improved Decoding Speed. CoRR (2019)
Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Laurent Schmalen, Stephan ten Brink
Decoder-in-the-Loop: Genetic Optimization- Based LDPC Code Design. IEEE Access 7 (2019)
Boris Karanov, Mathieu Chagnon, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model. CoRR (2019)
Boris Karanov, Gabriele Liga, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing. CoRR (2019)
Laurent Schmalen, Vahid Aref
Spatially Coupled LDPC Codes with Non-uniform Coupling for Improved Decoding Speed. ITW (2019)
Boris Karanov, Gabriele Liga, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing. Allerton (2019)
Son Thai Le, Karsten Schuh, Roman Dischler, Fred Buchali, Laurent Schmalen, Henning Bülow
5×510 Gbps Single-Polarization Direct-Detection WDM Transmission over 80 km of SSMF. OFC (2019)
Vahid Aref, Narayanan Rengaswamy, Laurent Schmalen
Finite-Length Analysis of Spatially-Coupled Regular LDPC Ensembles on Burst-Erasure Channels. IEEE Trans. Inf. Theory 64 (5) (2018)
Mohamad Dia, Vahid Aref, Laurent Schmalen
A Compressed Sensing Approach for Distribution Matching. CoRR (2018)
Fred Buchali, Qian Hu, Mathieu Chagnon, Karsten Schuh, Laurent Schmalen, Sergejs Makovejs
Flexible Transmission Enabled by Novel M2-QAM Formats with Record Distance - Spectral Efficiency Tuneability. OFC (2018)
Kevin Klaiber, Sebastian Cammerer, Laurent Schmalen, Stephan ten Brink
Avoiding Burst-like Error Patterns in Windowed Decoding of Spatially Coupled LDPC Codes. CoRR (2018)
Boris Karanov, Mathieu Chagnon, Félix Thouin, Tobias A. Eriksson, Henning Bülow, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
End-to-end Deep Learning of Optical Fiber Communications. CoRR (2018)
Mathieu Chagnon, Boris Karanov, Laurent Schmalen
Experimental Demonstration of a Dispersion Tolerant End-to-End Deep Learning-Based IM-DD Transmission System. ECOC (2018)
Kevin Klaiber, Sebastian Cammerer, Laurent Schmalen, Stephan ten Brink
Avoiding Burst-like Error Patterns in Windowed Decoding of Spatially Coupled LDPC Codes. ISTC (2018)
Laurent Schmalen
Probabilistic Constellation Shaping: Challenges and Opportunities for Forward Error Correction. OFC (2018)
Mohamad Dia, Vahid Aref, Laurent Schmalen
A Compressed Sensing Approach for Distribution Matching. ISIT (2018)
Laurent Schmalen
Performance Metrics for Communication Systems with Forward Error Correction. ECOC (2018)
Omar Ait Sab, Ivan Fernandez de Jauregui Ruiz, Amirhossein Ghazisaeidi, Philippe Plantady, Alain Calsat, Suwimol Dubost, Laurent Schmalen, Jeremie Renaudier, Vincent Letellier
Near Capacity 24.6 Tb/s Transmission over 10, 285km Straight Line Testbed at 5.9 b/s/Hz Spectral Efficiency Using TPCS-64QAM and C-Band EDFA-Only. ECOC (2017)
Qian Hu, Roman Dischler, Karsten Schuh, Henning Bülow, Laurent Schmalen, Fred Buchali
Beating Bandwidth Limitation for High-speed PAM-4 Transmission Based on Turbo Equalizer. ECOC (2017)
Fred Buchali, Wilfried Idler, Laurent Schmalen, Qian Hu
Flexible optical transmission close to the Shannon limit by probabilistically shaped QAM. OFC (2017)
Tobias A. Eriksson, Fred Buchali, Laurent Schmalen
Nonlinear mitigation using probabilistically shaped real-valued modulation formats. OFC (2017)
Sebastian Cammerer, Laurent Schmalen, Vahid Aref, Stephan ten Brink
Wave-like Decoding of Tail-biting Spatially Coupled LDPC Codes Through Iterative Demapping. CoRR (2017)
Tobias A. Eriksson, Fred Buchali, Wilfried Idler, Laurent Schmalen, Gabriel Charlet
Electronically subcarrier multiplexed PM-32QAM with optimized FEC overheads. OFC (2017)
Laurent Schmalen, Vahid Aref, Fanny Jardel
Non-uniformly coupled LDPC codes: Better thresholds, smaller rate-loss, and less complexity. ISIT (2017)
Junho Cho, Xi Chen, S. Chandrasekhar, Gregory Raybon, Ronen Dar, Laurent Schmalen, Ellsworth C. Burrows, Andrew Adamiecki, Stephen Corteselli, Yin Pan, Diego Correa, Bradley McKay, Zsigmond Szilárd, Peter J. Winzer, Steve Grubb
Trans-Atlantic field trial using probabilistically shaped 64-QAM at high spectral efficiencies and single-carrier real-time 250-Gb/s 16-QAM. OFC (2017)
Karsten Schuh, Fred Buchali, Wilfried Idler, Tobias A. Eriksson, Laurent Schmalen, Wolfgang Templ, Lars Altenhain, Ulrich Dumler, Rolf Schmid, Michael Möller, Klaus Engenhardt
Single carrier 1.2 Tbit/s transmission over 300 km with PM-64 QAM at 100 GBaud. OFC (2017)
Tobias A. Eriksson, Mathieu Chagnon, Fred Buchali, Karsten Schuh, Stephan ten Brink, Laurent Schmalen
56 Gbaud Probabilistically Shaped PAM8 for Data Center Interconnects. ECOC (2017)

Laurent Schmalen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Laurent Schmalen