| Tensorquant: A simulation toolbox for deep neural network quantization DM Loroch, FJ Pfreundt, N Wehn, J Keuper Proceedings of the Machine Learning on HPC Environments, 1-8, 2017 | 27 | 2017 |
| HALF: Holistic auto machine learning for FPGAs J Ney, D Loroch, V Rybalkin, N Weber, J Krüger, N Wehn 2021 31st International Conference on Field-Programmable Logic and …, 2021 | 13 | 2021 |
| Sparsity in deep neural networks-an empirical investigation with tensorquant DM Loroch, FJ Pfreundt, N Wehn, J Keuper ECML PKDD 2018 Workshops: DMLE 2018 and IoTStream 2018, Dublin, Ireland …, 2019 | 9 | 2019 |
| Carbon nanotube field-effect transistor performance in the scope of the 2026 ITRS requirements A Pacheco-Sanchez, D Loroch, S Mothes, M Schröter, M Claus 2016 International Conference on Simulation of Semiconductor Processes and …, 2016 | 3 | 2016 |
| SEC-Learn: Sensor Edge Cloud for Federated Learning P Aichroth, C Antes, P Gembatzka, H Graf, DS Johnson, M Jung, ... International Conference on Embedded Computer Systems, 432-448, 2021 | 1 | 2021 |
| Hardware-Aware Neural Architecture Search DM Loroch Statistical Machine Learning for Engineering with Applications, 319-347, 2024 | | 2024 |
| Method, apparatus and computer program for training deep networks D Loroch | | 2020 |
| D4. 3 Intermediate software prototype Version 1.0 Document Information V Bartsch, A Faustino, A Emerson, AC Medina, D Stoyanov, D Loroch, ... | | |
