| A million spiking-neuron integrated circuit with a scalable communication network and interface PA Merolla, JV Arthur, R Alvarez-Icaza, AS Cassidy, J Sawada, ... Science 345 (6197), 668-673, 2014 | 3080 | 2014 |
| Backpropagation for energy-efficient neuromorphic computing SK Esser, R Appuswamy, P Merolla, JV Arthur, DS Modha Advances in neural information processing systems 28, 2015 | 924 | 2015 |
| Learned step size quantization SK Esser, JL McKinstry, D Bablani, R Appuswamy, DS Modha arXiv preprint arXiv:1902.08153, 2019 | 249 | 2019 |
| Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores SK Esser, A Andreopoulos, R Appuswamy, P Datta, D Barch, A Amir, ... The 2013 International Joint Conference on Neural Networks (IJCNN), 1-10, 2013 | 195 | 2013 |
| Deep neural networks are robust to weight binarization and other non-linear distortions P Merolla, R Appuswamy, J Arthur, SK Esser, D Modha arXiv preprint arXiv:1606.01981, 2016 | 112 | 2016 |
| Network coding for computing: Cut-set bounds R Appuswamy, M Franceschetti, N Karamchandani, K Zeger IEEE Transactions on Information Theory 57 (2), 1015-1030, 2011 | 101 | 2011 |
| A new framework for constructing mutually orthogonal complementary sets and ZCZ sequences R Appuswamy, AK Chaturvedi IEEE Transactions on Information theory 52 (8), 3817-3826, 2006 | 87 | 2006 |
| Complete mutually orthogonal Golay complementary sets from Reed–Muller codes A Rathinakumar, AK Chaturvedi IEEE transactions on information theory 54 (3), 1339-1346, 2008 | 86 | 2008 |
| Real-time scalable cortical computing at 46 giga-synaptic OPS/watt with~ 100× speedup in time-to-solution and~ 100,000× reduction in energy-to-solution AS Cassidy, R Alvarez-Icaza, F Akopyan, J Sawada, JV Arthur, ... SC'14: Proceedings of the International Conference for High Performance …, 2014 | 85 | 2014 |
| Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications J Sawada, F Akopyan, AS Cassidy, B Taba, MV Debole, P Datta, ... SC'16: Proceedings of the International Conference for High Performance …, 2016 | 84 | 2016 |
| TrueNorth: Accelerating from zero to 64 million neurons in 10 years MV DeBole, B Taba, A Amir, F Akopyan, A Andreopoulos, WP Risk, ... Computer 52 (5), 20-29, 2019 | 82 | 2019 |
| Discovering low-precision networks close to full-precision networks for efficient embedded inference JL McKinstry, SK Esser, R Appuswamy, D Bablani, JV Arthur, IB Yildiz, ... arXiv preprint arXiv:1809.04191, 2018 | 73 | 2018 |
| From the cover: Convolutional networks for fast, energy-efficient neuromorphic computing SK Esser, PA Merolla, JV Arthur, AS Cassidy, R Appuswamy, ... Proceedings of the National Academy of Sciences of the United States of …, 2016 | 48 | 2016 |
| Mutually orthogonal sets of ZCZ sequences A Rathinakumar, AK Chaturvedi Electronics Letters 40 (18), 1, 2004 | 46 | 2004 |
| Computing linear functions by linear coding over networks R Appuswamy, M Franceschetti IEEE transactions on information theory 60 (1), 422-431, 2013 | 33 | 2013 |
| Time and energy complexity of function computation over networks N Karamchandani, R Appuswamy, M Franceschetti IEEE Transactions on Information Theory 57 (12), 7671-7684, 2011 | 33 | 2011 |
| 1014 TM Wong, R Preissl, P Datta, M Flickner, R Singh, SK Esser, E McQuinn, ... IBM Research Divsion, Research Report RJ10502, 13-15, 2012 | 30 | 2012 |
| Visual saliency on networks of neurosynaptic cores A Andreopoulos, B Taba, AS Cassidy, R Alvarez-Icaza, MD Flickner, ... IBM Journal of Research and Development 59 (2/3), 9: 1-9: 16, 2015 | 27 | 2015 |
| Linear codes, target function classes, and network computing capacity R Appuswamy, M Franceschetti, N Karamchandani, K Zeger IEEE transactions on information theory 59 (9), 5741-5753, 2013 | 26 | 2013 |
| Network coding for computing R Appuswamy, M Franceschetti, N Karamchandani, K Zeger 2008 46th Annual Allerton Conference on Communication, Control, and …, 2008 | 26 | 2008 |
Dharmendra ModhaIBM FellowEmail verificata su us.ibm.com
