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Daniel Neil
Daniel Neil
BenevolentAI
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Titel
Zitiert von
Zitiert von
Jahr
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
8342015
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
4662013
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
4222016
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
2212014
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
1772020
DDD17: End-to-end DAVIS driving dataset
J Binas, D Neil, SC Liu, T Delbruck
arXiv preprint arXiv:1711.01458, 2017
1392017
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
1352018
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
1242015
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
1112016
Effective Sensor Fusion with Event-Based Sensors and Deep Network Architectures
D Neil, SC Liu
IEEE Int. Symposium on Circuits and Systems (ISCAS), 2016
902016
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
89*2015
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
752016
Feature representations for neuromorphic audio spike streams
J Anumula, D Neil, T Delbruck, SC Liu
Frontiers in neuroscience 12, 23, 2018
712018
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
702016
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
692017
Exploring deep recurrent models with reinforcement learning for molecule design
D Neil, M Segler, L Guasch, M Ahmed, D Plumbley, M Sellwood, N Brown
672018
Delta networks for optimized recurrent network computation
D Neil, JH Lee, T Delbruck, SC Liu
International conference on machine learning, 2584-2593, 2017
612017
2015 International Joint Conference on Neural Networks (IJCNN)
PU Diehl, D Neil, J Binas, M Cook, SC Liu, M Pfeiffer
IEEE, 2015
462015
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
382016
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
302020
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