| Conversion of continuous-valued deep networks to efficient event-driven networks for image classification B Rueckauer, IA Lungu, Y Hu, M Pfeiffer, SC Liu Frontiers in neuroscience 11, 682, 2017 | 185 | 2017 |
| Evaluation of event-based algorithms for optical flow with ground-truth from inertial measurement sensor B Rueckauer, T Delbruck Frontiers in neuroscience 10, 176, 2016 | 60 | 2016 |
| Theory and tools for the conversion of analog to spiking convolutional neural networks B Rueckauer, IA Lungu, Y Hu, M Pfeiffer arXiv preprint arXiv:1612.04052, 2016 | 45 | 2016 |
| Conversion of analog to spiking neural networks using sparse temporal coding B Rueckauer, SC Liu 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 36 | 2018 |
| Event-driven sensing for efficient perception: Vision and audition algorithms SC Liu, B Rueckauer, E Ceolini, A Huber, T Delbruck IEEE Signal Processing Magazine 36 (6), 29-37, 2019 | 14 | 2019 |
| Closing the Accuracy Gap in an Event-Based Visual Recognition Task B Rückauer, N Känzig, SC Liu, T Delbruck, Y Sandamirskaya arXiv preprint arXiv:1906.08859, 2019 | 3 | 2019 |
| New Features of Receptive Fields in Mouse Retina through Spike-triggered Covariance J Ahn, B Rueckauer, Y Yoo, YS Goo Experimental Neurobiology 29 (1), 38, 2020 | 1 | 2020 |
| Neural network apparatus and method B Ruckauer, SC Liu US Patent App. 16/168,024, 2019 | 1 | 2019 |
| METHOD AND APPARATUS WITH NEURAL NETWORK LAYER CONTRACTION S Liu, B Rueckauer, T Delbruck US Patent App. 16/739,543, 2020 | | 2020 |
| Linear Approximation of Deep Neural Networks for Efficient Inference on Video Data B Rueckauer, SC Liu 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | | 2019 |
| Method of converting neural network and recognition apparatus using the same B Ruckauer, I Lungu, HU Yuhuang, M Pfeiffer US Patent App. 15/631,058, 2018 | | 2018 |
Shih-Chii LiuGroup Leader, University of Zurich / ETH ZurichVerified email at ini.phys.ethz.ch
