Garrett T Kenyon
Cited by
Cited by
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 Mascareņas
Mechanical Systems and Signal Processing 85, 567-590, 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
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
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
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
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
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
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
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
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
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
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
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
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
Large-scale functional models of visual cortex for remote sensing
SP Brumby, G Kenyon, W Landecker, C Rasmussen, S Swaminarayan, ...
2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009), 1-6, 2009
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
See globally, spike locally: oscillations in a retinal model encode large visual features
GJ Stephens, S Neuenschwander, JS George, W Singer, GT Kenyon
Biological cybernetics 95, 327-348, 2006
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
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
Object detection approach using generative sparse, hierarchical networks with top-down and lateral connections for combining texture/color detection and shape/contour detection
DM Paiton, GT Kenyon, SP Brumby, PF Schultz, JS George
US Patent 9,092,692, 2015
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