| Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification Y Yang, C Dorn, T Mancini, Z Talken, G Kenyon, C Farrar, D Mascareñas Mechanical Systems and Signal Processing 85, 567-590, 2017 | 389 | 2017 |
| Blind identification of full-field vibration modes of output-only structures from uniformly-sampled, possibly temporally-aliased (sub-Nyquist), video measurements Y Yang, C Dorn, T Mancini, Z Talken, S Nagarajaiah, G Kenyon, C Farrar, ... Journal of Sound and Vibration 390, 232-256, 2017 | 126 | 2017 |
| Interpreting individual classifications of hierarchical networks W Landecker, MD Thomure, LMA Bettencourt, M Mitchell, GT Kenyon, ... 2013 IEEE symposium on computational intelligence and data mining (CIDM), 32-38, 2013 | 88 | 2013 |
| Reference-free detection of minute, non-visible, damage using full-field, high-resolution mode shapes output-only identified from digital videos of structures Y Yang, C Dorn, T Mancini, Z Talken, J Theiler, G Kenyon, C Farrar, ... Structural Health Monitoring 17 (3), 514-531, 2018 | 80 | 2018 |
| A mathematical model of the cerebellar-olivary system I: self-regulating equilibrium of climbing fiber activity GT Kenyon, JF Medina, MD Mauk Journal of computational neuroscience 5, 17-33, 1998 | 69 | 1998 |
| A model of high-frequency oscillatory potentials in retinal ganglion cells GT Kenyon, B Moore, J Jeffs, KS Denning, GJ Stephens, BJ Travis, ... Visual neuroscience 20 (5), 465-480, 2003 | 49 | 2003 |
| A review of non-cognitive applications for neuromorphic computing JB Aimone, P Date, GA Fonseca-Guerra, KE Hamilton, K Henke, B Kay, ... Neuromorphic Computing and Engineering 2 (3), 032003, 2022 | 46 | 2022 |
| A little robustness goes a long way: Leveraging robust features for targeted transfer attacks J Springer, M Mitchell, G Kenyon Advances in Neural Information Processing Systems 34, 9759-9773, 2021 | 41 | 2021 |
| A reconfigurable computing framework for multi-scale cellular image processing R Porter, J Frigo, A Conti, N Harvey, G Kenyon, M Gokhale Microprocessors and Microsystems 31 (8), 546-563, 2007 | 37 | 2007 |
| Gap junctions with amacrine cells provide a feedback pathway for ganglion cells within the retina GT Kenyon, DW Marshak Proceedings of the Royal Society of London. Series B: Biological Sciences …, 1998 | 36 | 1998 |
| It's hard for neural networks to learn the game of life JM Springer, GT Kenyon 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 34 | 2021 |
| Replicating kernels with a short stride allows sparse reconstructions with fewer independent kernels PF Schultz, DM Paiton, W Lu, GT Kenyon arXiv preprint arXiv:1406.4205, 2014 | 33 | 2014 |
| Correlated firing improves stimulus discrimination in a retinal model GT Kenyon, J Theiler, JS George, BJ Travis, DW Marshak Neural Computation 16 (11), 2261-2291, 2004 | 33 | 2004 |
| A model of long-term memory storage in the cerebellar cortex: a possible role for plasticity at parallel fiber synapses onto stellate/basket interneurons GT Kenyon Proceedings of the National Academy of Sciences 94 (25), 14200-14205, 1997 | 33 | 1997 |
| Modeling biological immunity to adversarial examples E Kim, J Rego, Y Watkins, GT Kenyon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 29 | 2020 |
| Image classification using quantum inference on the d-wave 2x NTT Nguyen, GT Kenyon 2018 IEEE International Conference on Rebooting Computing (ICRC), 1-7, 2018 | 28 | 2018 |
| Efficient full-field vibration measurements and operational modal analysis using neuromorphic event-based imaging C Dorn, S Dasari, Y Yang, C Farrar, G Kenyon, P Welch, D Mascareñas Journal of Engineering Mechanics 144 (7), 04018054, 2018 | 28 | 2018 |
| Time-to-collision estimation from motion based on primate visual processing JM Galbraith, GT Kenyon, RW Ziolkowski IEEE transactions on pattern analysis and machine intelligence 27 (8), 1279-1291, 2005 | 28 | 2005 |
| Deep sparse coding for invariant multimodal halle berry neurons E Kim, D Hannan, G Kenyon Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 27 | 2018 |
| A mathematical model of the cerebellar-olivary system II: motor adaptation through systematic disruption of climbing fiber equilibrium GT Kenyon, JF Medina, MD Mauk Journal of Computational Neuroscience 5, 71-90, 1998 | 26 | 1998 |
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