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Journal Articles
- 2022
[j1]Vladimir Rybalkin, Jonas Ney, Menbere Kina Tekleyohannes, Norbert Wehn:
When Massive GPU Parallelism Ain't Enough: A Novel Hardware Architecture of 2D-LSTM Neural Network. ACM Trans. Reconfigurable Technol. Syst. 15(1): 2:1-2:35 (2022)
Conference and Workshop Papers
- 2024
- [c11]Jonas Ney, Norbert Wehn:
Achieving High Throughput with a Trainable Neural-Network-Based Equalizer for Communications on FPGA. DSD 2024: 106-113 - [c10]Bilal Hammoud, Jonas Ney, Charbel Bou-Mosleh, Norbert Wehn:
FPGA Onboard Processing of Tiny-ML Models Using Radar-Sensing for Oil Spill Monitoring. IGARSS 2024: 6339-6342 - [c9]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. OFC 2024: 1-3 - 2023
- [c8]Jonas Ney, Vincent Lauinger
, Laurent Schmalen, Norbert Wehn:
Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation. EuCNC/6G Summit 2023: 60-65 - [c7]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: 158-173 - 2022
- [c6]Bilal Hammoud, Charbel Bou-Mosleh, Jonas Ney, Norbert Wehn:
Artificial Neural Networks-Based Radar Remote Sensing to Estimate Geographical Information during Oil-Spills. EUSIPCO 2022: 1801-1805 - [c5]Jonas Ney, Sebastian Dörner, Matthias Herrmann, Mohammad Hassani Sadi, Jannis Clausius, Stephan ten Brink, Norbert Wehn:
FPGA-based Trainable Autoencoder for Communication Systems. FPGA 2022: 154 - [c4]Vincent Lauinger, Manuel Hoffmann, Jonas Ney, Norbert Wehn, Laurent Schmalen:
Blind and Channel-agnostic Equalization Using Adversarial Networks. GLOBECOM 2022: 585-590 - [c3]Jonas Ney, Bilal Hammoud, Norbert Wehn:
A Hybrid Approach combining ANN-based and Conventional Demapping in Communication for Efficient FPGA-Implementation. IPDPS Workshops 2022: 92-95 - 2021
- [c2]Jonas Ney, Dominik Marek Loroch, Vladimir Rybalkin, Nico Weber, Jens Krüger, Norbert Wehn:
HALF: Holistic Auto Machine Learning for FPGAs. FPL 2021: 363-368 - [c1]Iris Walter, Jonas Ney, Tim Hotfilter, Vladimir Rybalkin, Julian Höfer, Norbert Wehn, Jürgen Becker:
Embedded Face Recognition for Personalized Services in the Assistive Robotics. PKDD/ECML Workshops (1) 2021: 339-350
Informal and Other Publications
- 2024
- [i7]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 abs/2401.09579 (2024) - [i6]Jonas Ney, Patrick Matalla, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn:
Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications. CoRR abs/2402.15288 (2024) - [i5]Jonas Ney, Christoph Füllner, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn:
CNN-Based Equalization for Communications: Achieving Gigabit Throughput with a Flexible FPGA Hardware Architecture. CoRR abs/2405.02323 (2024) - 2023
- [i4]Jonas Ney, Bilal Hammoud, Norbert Wehn:
A Hybrid Approach combining ANN-based and Conventional Demapping in Communication for Efficient FPGA-Implementation. CoRR abs/2304.05042 (2023) - [i3]Jonas Ney, Vincent Lauinger, Laurent Schmalen, Norbert Wehn:
Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation. CoRR abs/2304.06987 (2023) - 2022
- [i2]Vincent Lauinger, Manuel Hoffmann, Jonas Ney, Norbert Wehn, Laurent Schmalen:
Blind and Channel-agnostic Equalization Using Adversarial Networks. CoRR abs/2209.07277 (2022) - 2021
- [i1]Jonas Ney, Dominik Marek Loroch, Vladimir Rybalkin, Nico Weber, Jens Krüger, Norbert Wehn:
HALF: Holistic Auto Machine Learning for FPGAs. CoRR abs/2106.14771 (2021)
Coauthor Index
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