| Integrated flow for reverse engineering of nanoscale technologies B Lippmann, M Werner, N Unverricht, A Singla, P Egger, A Dübotzky, ... Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019 | 37 | 2019 |
| Verification of physical designs using an integrated reverse engineering flow for nanoscale technologies B Lippmann, N Unverricht, A Singla, M Ludwig, M Werner, P Egger, ... Integration 71, 11-29, 2020 | 33 | 2020 |
| Reverse engineering of cryptographic cores by structural interpretation through graph analysis M Werner, B Lippmann, J Baehr, H Gräb 2018 IEEE 3rd International Verification and Security Workshop (IVSW), 13-18, 2018 | 24 | 2018 |
| Accurate cost estimation of memory systems utilizing machine learning and solutions from computer vision for design automation L Servadei, E Mosca, E Zennaro, K Devarajegowda, M Werner, W Ecker, ... IEEE Transactions on Computers 69 (6), 856-867, 2020 | 15 | 2020 |
| Embedded systems’ automation following omg’s model driven architecture vision W Ecker, K Devarajegowda, M Werner, Z Han, L Servadei 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 15 | 2019 |
| Formal verification methodology in an industrial setup K Devarajegowda, L Servadei, Z Han, M Werner, W Ecker 2019 22nd Euromicro Conference on Digital System Design (DSD), 610-614, 2019 | 13 | 2019 |
| Towards a python-based one language ecosystem for embedded systems automation Z Han, K Devarajegowda, M Werner, W Ecker 2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and …, 2019 | 11 | 2019 |
| Deep reinforcement learning for optimization at early design stages L Servadei, JH Lee, JAA Medina, M Werner, S Hochreiter, W Ecker, ... IEEE Design & Test 40 (1), 43-51, 2022 | 5 | 2022 |
| Extending Verilator to Enable Fault Simulation E Kaja, NO Leon, M Werner, B Andrei-Tabacaru, K Devarajegowda, ... MBMV 2021; 24th Workshop, 1-6, 2021 | 5 | 2021 |
| Cost optimization at early stages of design using deep reinforcement learning L Servadei, J Zheng, J Arjona-Medina, M Werner, V Esen, S Hochreiter, ... Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, 37-42, 2020 | 5 | 2020 |
| Optimized HW/FW Generation from an Abstract Register Interface Model M Werner, I Zeraliu, Z Han, S Prebeck, L Servardei, W Ecker 2020 23rd Euromicro Conference on Digital System Design (DSD), 35-39, 2020 | 4 | 2020 |
| Increasing Soft Error Resilience by Software Transformation M Werner, K Devarajegowda, M Chaari, W Ecker Proceedings of the 56th Annual Design Automation Conference 2019, 1-4, 2019 | 4 | 2019 |
| Automatic compiler optimization on embedded software through k-means clustering M Werner, L Servadei, R Wille, W Ecker Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, 157-162, 2020 | 2 | 2020 |
| Combining evolutionary algorithms and deep learning for hardware/software interface optimization L Servadei, E Mosca, M Werner, V Esen, R Wille, W Ecker 2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD), 1-6, 2019 | 2 | 2019 |
| ABC der Elektroinstallation H Schultke, M Werner EW Medien und Kongresse, 2012 | 2 | 2012 |
| On Self-Verifying DSL Generation for Embedded Systems Automation Z Han, S Qazi, M Werner, K Devarajegowda, W Ecker MBMV 2021; 24th Workshop, 1-7, 2021 | 1 | 2021 |
| Cost estimation for configurable model-driven SoC designs using machine learning L Servadei, E Mosca, K Devarajegowda, M Werner, W Ecker, R Wille Proceedings of the 2020 on Great Lakes Symposium on VLSI, 405-410, 2020 | 1 | 2020 |
| A Syntax oriented Code Generation Approach for SoC Design Automation M Werner, A Neumeier, W Ecker Final Workshop Proceedings, 33, 2019 | 1 | 2019 |
| Automatic Generator Methodology for Safe Embedded Software M Werner Technische Universität München, 2023 | | 2023 |
| Increasing soft error resilience by software M Werner, K Devarajegowda, M Chaari, W Ecker 2019 56th ACM/IEEE Design Automation Conference (DAC), 1-4, 2019 | | 2019 |
