| Fast-Classifying, High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing PU Diehl, D Neil, J Binas, M Cook, SC Liu, M Pfeiffer International Joint Conference on Neural Networks (IJCNN), 2015 | 912 | 2015 |
| Real-time classification and sensor fusion with a spiking deep belief network P O'Connor, D Neil, SC Liu, T Delbruck, M Pfeiffer Frontiers in neuroscience 7, 178, 2013 | 485 | 2013 |
| Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences D Neil, M Pfeiffer, SC Liu Advances in Neural Information Processing Systems (NIPS), 2016 29, 2016 | 442 | 2016 |
| Minitaur, an event-driven FPGA-based spiking network accelerator D Neil, SC Liu IEEE transactions on very large scale integration (VLSI) systems 22 (12 …, 2014 | 232 | 2014 |
| Applications of machine learning to diagnosis and treatment of neurodegenerative diseases MA Myszczynska, PN Ojamies, AMB Lacoste, D Neil, A Saffari, R Mead, ... Nature Reviews Neurology 16 (8), 440-456, 2020 | 227 | 2020 |
| DDD17: End-to-end DAVIS driving dataset J Binas, D Neil, SC Liu, T Delbruck arXiv preprint arXiv:1711.01458, 2017 | 155 | 2017 |
| DeltaRNN: A power-efficient recurrent neural network accelerator C Gao, D Neil, E Ceolini, SC Liu, T Delbruck Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 139 | 2018 |
| Robustness of spiking deep belief networks to noise and reduced bit precision of neuro-inspired hardware platforms E Stromatias, D Neil, M Pfeiffer, F Galluppi, SB Furber, SC Liu Frontiers in neuroscience 9, 222, 2015 | 126 | 2015 |
| Steering a predator robot using a mixed frame/event-driven convolutional neural network DP Moeys, F Corradi, E Kerr, P Vance, G Das, D Neil, D Kerr, T Delbrück 2016 Second international conference on event-based control, communication …, 2016 | 112 | 2016 |
| Effective Sensor Fusion with Event-Based Sensors and Deep Network Architectures D Neil, SC Liu IEEE Int. Symposium on Circuits and Systems (ISCAS), 2016 | 95 | 2016 |
| Scalable Energy-Efficient, Low-Latency Implementations of Spiking Deep Belief Networks on SpiNNaker E Stromatias, D Neil, F Galluppi, M Pfeiffer, SC Liu, S Furber IEEE International Joint Conference on Neural Networks (IJCNN), 2015 | 93* | 2015 |
| Feature representations for neuromorphic audio spike streams J Anumula, D Neil, T Delbruck, SC Liu Frontiers in neuroscience 12, 23, 2018 | 83 | 2018 |
| Combined frame- and event-based detection and tracking H Liu, DP Moeys, D Neil, SC Liu, T Delbruck IEEE Int. Symposium on Circuits and Systems (ISCAS), 2016 | 81 | 2016 |
| Exploring deep recurrent models with reinforcement learning for molecule design D Neil, M Segler, L Guasch, M Ahmed, D Plumbley, M Sellwood, N Brown | 73 | 2018 |
| Learning to be Efficient: Algorithms for Training Low-Latency, Low-Compute Deep Spiking Neural Networks D Neil, M Pfeiffer, SC Liu ACM Symposium on Applied Computing 31, 2016 | 73 | 2016 |
| A curriculum learning method for improved noise robustness in automatic speech recognition S Braun, D Neil, SC Liu 2017 25th European Signal Processing Conference (EUSIPCO), 548-552, 2017 | 72 | 2017 |
| Delta networks for optimized recurrent network computation D Neil, JH Lee, T Delbruck, SC Liu International conference on machine learning, 2584-2593, 2017 | 61 | 2017 |
| 2015 International Joint Conference on Neural Networks (IJCNN) PU Diehl, D Neil, J Binas, M Cook, SC Liu, M Pfeiffer IEEE, 2015 | 47 | 2015 |
| Ddd20 end-to-end event camera driving dataset: Fusing frames and events with deep learning for improved steering prediction Y Hu, J Binas, D Neil, SC Liu, T Delbruck 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 42 | 2020 |
| Precise deep neural network computation on imprecise low-power analog hardware J Binas, D Neil, G Indiveri, SC Liu, M Pfeiffer arXiv: Computer Science/Neural and Evolutionary Computing 1606 (1606.07786), 0-0, 2016 | 38 | 2016 |
Shih-Chii LiuInstitute of Neuroinformatics, University of Zurich & ETH ZurichVerified email at ini.phys.ethz.ch
