| Resource-efficient neural networks for embedded systems W Roth, G Schindler, B Klein, R Peharz, S Tschiatschek, H Fröning, ... Journal of Machine Learning Research 25 (50), 1-51, 2024 | 47 | 2024 |
| Towards addressing noise and static variations of analog computations using efficient retraining B Klein, L Kuhn, J Weis, A Emmel, Y Stradmann, J Schemmel, H Fröning Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 7 | 2021 |
| Walking Noise: Understanding Implications of Noisy Computations on Classification Tasks H Borras, B Klein, H Fröning HiPEAC 2023 Conference, 5th Workshop on Accelerated Machine Learning (AccML), 2023 | 3 | 2023 |
| Towards Hardware-Specific Automatic Compression of Neural Networks T Krieger, B Klein, H Fröning AAAI Conference on Artificial Intelligence 2023, 2nd International Workshop …, 2023 | 2 | 2023 |
| Understanding Cache Boundness of ML Operators on ARM Processors B Klein, C Gratl, M Mücke, H Fröning HiPEAC 2021 Conference, 3rd Workshop on Accelerated Machine Learning (AccML), 2021 | 1 | 2021 |
| Probabilistic Photonic Computing with Chaotic Light F Brückerhoff-Plückelmann, H Borras, B Klein, A Varri, M Becker, ... arXiv preprint arXiv:2401.17915, 2024 | | 2024 |
| Lightweight uncertainty modelling using function space particle optimization S Steger, B Klein, H Fröning, F Pernkopf | | 2023 |
| On the Non-Associativity of Analog Computations L Kuhn, B Klein, H Fröning arXiv preprint arXiv:2309.14292, 2023 | | 2023 |
Holger FröningProfessor a Heidelberg University確認したメール アドレス: ziti.uni-heidelberg.de
Holger FröningProfessor a Heidelberg University確認したメール アドレス: ziti.uni-heidelberg.de