| Spoken digit classification by in-materio reservoir computing with neuromorphic atomic switch networks S Lilak, W Woods, K Scharnhorst, C Dunham, C Teuscher, AZ Stieg, ... Frontiers in Nanotechnology 3, 675792, 2021 | 72 | 2021 |
| Adversarial explanations for understanding image classification decisions and improved neural network robustness W Woods, J Chen, C Teuscher Nature Machine Intelligence 1 (11), 508-516, 2019 | 51 | 2019 |
| Synaptic weight states in a locally competitive algorithm for neuromorphic memristive hardware W Woods, J Bürger, C Teuscher IEEE Transactions on Nanotechnology 14 (6), 945-953, 2015 | 27 | 2015 |
| Memristor panic—A survey of different device models in crossbar architectures W Woods, MMA Taha, SJD Tran, J Bürger, C Teuscher Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale …, 2015 | 22 | 2015 |
| Fast and accurate sparse coding of visual stimuli with a simple, ultralow-energy spiking architecture W Woods, C Teuscher IEEE transactions on neural networks and learning systems 30 (7), 2173-2187, 2018 | 19 | 2018 |
| Approximate vector matrix multiplication implementations for neuromorphic applications using memristive crossbars W Woods, C Teuscher 2017 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2017 | 18 | 2017 |
| Non-Temporal logic performance of an atomic switch network K Scharnhorst, W Woods, C Teuscher, A Stieg, J Gimzewski 2017 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2017 | 10 | 2017 |
| Icarus: Understanding de facto formats by way of feathers and wax S Cowger, Y Lee, N Schimanski, M Tullsen, W Woods, R Jones, EW Davis, ... 2020 IEEE Security and Privacy Workshops (SPW), 327-334, 2020 | 7 | 2020 |
| Impact of memristor defects in a neuromorphic radionuclide identification system JI Canales-Verdial, W Woods, C Teuscher, M Osinski, P Zarkesh-Ha 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 6 | 2020 |
| On the influence of synaptic weight states in a locally competitive algorithm for memristive hardware W Woods, J Bürger, C Teuscher Proceedings of the 2014 IEEE/ACM International Symposium on Nanoscale …, 2014 | 6 | 2014 |
| Approximate in-memory Hamming distance calculation with a memristive associative memory MMA Taha, W Woods, C Teuscher 2016 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2016 | 5 | 2016 |
| LAGOON: an analysis tool for open source communities S Dey, W Woods Proceedings of the 19th International Conference on Mining Software …, 2022 | 4 | 2022 |
| Application of a simple, spiking, locally competitive algorithm to radionuclide identification M Carson, W Woods, S Reynolds, M Wetzel, AJ Morton, AA Hecht, ... IEEE Transactions on Nuclear Science 68 (3), 292-304, 2021 | 4 | 2021 |
| Reliable classification explanations via adversarial attacks on robust networks W Woods, J Chen, C Teuscher arXiv preprint arXiv:1906.02896 3 (5), 2019 | 4 | 2019 |
| Safety Margins for Reinforcement Learning A Grushin, W Woods, A Velasquez, S Khan 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, 2023 | 3 | 2023 |
| Anomaly Detection with Neural Parsers That Never Reject A Grushin, W Woods 2022 IEEE Security and Privacy Workshops (SPW), LangSec, 2022 | 3 | 2022 |
| RL-GRIT: Reinforcement learning for grammar inference W Woods 2021 IEEE Security and Privacy Workshops (SPW), 171-183, 2021 | 3 | 2021 |
| Exploring and expanding the one-pixel attack U Khan, W Woods, C Teuscher | 3 | 2019 |
| Combining AI control systems and human decision support via robustness and criticality W Woods, A Grushin, S Khan, A Velasquez Disruptive Technologies in Information Sciences VIII 13058, 172-190, 2024 | 1 | 2024 |
| Criticality and safety margins for reinforcement learning A Grushin, W Woods, A Velasquez, S Khan arXiv preprint arXiv:2409.18289, 2024 | | 2024 |
Christof TeuscherProfessor of Electrical and Computer Engineering, Portland State UniversityBestätigte E-Mail-Adresse bei teuscher.ch
