HALF: Holistic Auto Machine Learning for FPGAs. - Jonas Ney; Dominik Marek Loroch; Vladimir Rybalkin; Nico Weber; Jens Krüger 004; Norbert Wehn (FPL, 2021)

Embedded Face Recognition for Personalized Services in the Assistive Robotics. - Iris Walter; Jonas Ney; Tim Hotfilter; Vladimir Rybalkin; Julian Höfer; Norbert Wehn; Jürgen Becker 001 (PKDD/ECML Workshops (1), 2021)

Artificial Neural Networks-Based Radar Remote Sensing to Estimate Geographical Information during Oil-Spills. - Bilal Hammoud; Charbel Bou-Mosleh; Jonas Ney; Norbert Wehn (EUSIPCO, 2022)

FPGA-based Trainable Autoencoder for Communication Systems. - Jonas Ney; Sebastian Dörner; Matthias Herrmann; Mohammad Hassani Sadi; Jannis Clausius; Stephan ten Brink; Norbert Wehn (FPGA, 2022)

Blind and Channel-agnostic Equalization Using Adversarial Networks. - Vincent Lauinger; Manuel Hoffmann; Jonas Ney; Norbert Wehn; Laurent Schmalen (GLOBECOM, 2022)

A Hybrid Approach combining ANN-based and Conventional Demapping in Communication for Efficient FPGA-Implementation. - Jonas Ney; Bilal Hammoud; Norbert Wehn (IPDPS Workshops, 2022)

When Massive GPU Parallelism Ain't Enough: A Novel Hardware Architecture of 2D-LSTM Neural Network. - Vladimir Rybalkin; Jonas Ney; Menbere Kina Tekleyohannes; Norbert Wehn (ACM Trans. Reconfigurable Technol. Syst., 2022)

Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation. - Jonas Ney; Vincent Lauinger; Laurent Schmalen; Norbert Wehn (EuCNC/6G Summit, 2023)

From Algorithm to Implementation: Enabling High-Throughput CNN-Based Equalization on FPGA for Optical Communications. - Jonas Ney; Christoph Füllner; Vincent Lauinger; Laurent Schmalen; Sebastian Randel; Norbert Wehn (SAMOS, 2023)

Achieving High Throughput with a Trainable Neural-Network-Based Equalizer for Communications on FPGA. - Jonas Ney; Norbert Wehn (DSD, 2024)

FPGA Onboard Processing of Tiny-ML Models Using Radar-Sensing for Oil Spill Monitoring. - Bilal Hammoud; Jonas Ney; Charbel Bou-Mosleh; Norbert Wehn (IGARSS, 2024)

Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networks. - Vincent Lauinger; Patrick Matalla; Jonas Ney; Norbert Wehn; Sebastian Randel; Laurent Schmalen (OFC, 2024)

Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications. - Jonas Ney; Patrick Matalla; Vincent Lauinger; Laurent Schmalen; Sebastian Randel; Norbert Wehn (CoRR, 2024)

CNN-Based Equalization for Communications: Achieving Gigabit Throughput with a Flexible FPGA Hardware Architecture. - Jonas Ney; Christoph Füllner; Vincent Lauinger; Laurent Schmalen; Sebastian Randel; Norbert Wehn (CoRR, 2024)

Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications. - Laurent Schmalen; Vincent Lauinger; Jonas Ney; Norbert Wehn; Patrick Matalla; Sebastian Randel; Alexander von Bank; Eike-Manuel Edelmann (OFC, 2025)

eFAirWrite: Bringing energy efficient text entry to next generation smart devices. - Muhammad Mohsin Ghaffar; Ahmad Abdullah; Junaid Younas; Vladimir Rybalkin; Jonas Ney; Paul Lukowicz; Norbert Wehn (Expert Syst. Appl., 2025)

ECNN: A Low-complex, Adjustable CNN for Industrial Pump Monitoring Using Vibration Data. - Jonas Ney; Norbert Wehn (CoRR, 2025)