| ZEN: A flexible energy-efficient hardware classifier exploiting temporal sparsity in ECG data M Jobst, J Partzsch, C Liu, L Guo, D Walter, SU Rehman, S Scholze, ... 2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022 | 6 | 2022 |
| Event-based neural network for ECG classification with delta encoding and early stopping M Jobst, C Liu, J Partzsch, Y Yan, D Kappel, HA Gonzalez, Y Ji, ... 2020 6th International Conference on Event-Based Control, Communication, and …, 2020 | 6 | 2020 |
| Neuromorphic intermediate representation: a unified instruction set for interoperable brain-inspired computing JE Pedersen, S Abreu, M Jobst, G Lenz, V Fra, FC Bauer, DR Muir, ... arXiv preprint arXiv:2311.14641, 2023 | 3 | 2023 |
| Deploying machine learning models to ahead-of-time runtime on edge using microtvm C Liu, M Jobst, L Guo, X Shi, J Partzsch, C Mayr arXiv preprint arXiv:2304.04842, 2023 | 2 | 2023 |
| A Low-Power Hardware Accelerator of MFCC Extraction for Keyword Spotting in 22nm FDSOI L Guo, M Jobst, J Partzsch, S Scholze, A Dixius, M Lohrmann, ... 2023 IEEE 5th International Conference on Artificial Intelligence Circuits …, 2023 | | 2023 |
| Rahmenprogramm der Bundesregierung für Forschung und Innovation 2016-2020" Mikroelektronik in Deutschland-Innovationstreiber der Digitalisierung", Verbundprojekt: ZEN … J Partzsch, C Liu, M Jobst Technische Universität Dresden, 2021 | | 2021 |
| 2020 6th International Conference on Event-Based Control, Communication and Signal Processing (EBCCSP 2020) B Gaujal, A Girault, AB Torrico, A Hamilton, A Chaves, A Tarczynski, ... | | 2020 |
Johannes PartzschChair for Highly Parallel VLSI Systems and Neuromorphic Circuits, TU DresdenBestätigte E-Mail-Adresse bei tu-dresden.de
