Garrett T. Kenyon
Orcid: 0000-0003-4836-3938Affiliations:
- Los Alamos National Laboratory, Biophysics Group, USA
According to our database1,
Garrett T. Kenyon
authored at least 72 papers
between 1998 and 2024.
Collaborative distances:
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Bibliography
2024
2023
An Interface-Type Memristive Device for Artificial Synapse and Neuromorphic Computing.
Adv. Intell. Syst., August, 2023
LCANets++: Robust Audio Classification using Multi-layer Neural Networks with Lateral Competition.
CoRR, 2023
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
2022
Neuromorph. Comput. Eng., June, 2022
Fast Post-Hoc Normalization for Brain Inspired Sparse Coding on a Neuromorphic Device.
IEEE Trans. Parallel Distributed Syst., 2022
If you've trained one you've trained them all: inter-architecture similarity increases with robustness.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022
Apples-to-spikes: The first detailed comparison of LASSO solutions generated by a spiking neuromorphic processor.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer.
CoRR, 2021
A Little Robustness Goes a Long Way: Leveraging Universal Features for Targeted Transfer Attacks.
CoRR, 2021
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers.
CoRR, 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020
Can Lateral Inhibition for Sparse Coding Help Explain V1 Neuronal Responses To Natural Stimuli?
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020
Alien vs. Predator: Brain Inspired Sparse Coding Optimization on Neuromorphic and Quantum Devices.
Proceedings of the International Conference on Rebooting Computing, 2020
Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Using models of cortical development based on sparse coding to discriminate between real and synthetically-generated faces.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020
2019
Proceedings of the International Conference on Neuromorphic Systems, 2019
Proceedings of the International Conference on Neuromorphic Systems, 2019
Proceedings of the 2nd International Conference on Applications of Intelligent Systems, 2019
2018
Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples.
CoRR, 2018
Sparse coding of pathology slides compared to transfer learning with deep neural networks.
BMC Bioinform., 2018
Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018
Radiographic Inference Based on a Model of V1 Simple Cells Implemented on the D-Wave 2X Quantum Annealing Computer.
Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018
Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Phase Transitions in Image Denoising via Sparsely Coding Convolutional Neural Networks.
CoRR, 2017
Generating Sparse Representations Using Quantum Annealing: Comparison to Classical Algorithms.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017
2016
Efficient Distributed Semi-Supervised Learning using Stochastic Regularization over Affinity Graphs.
CoRR, 2016
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016
2015
A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification.
Proceedings of the BICT 2015, 2015
A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations.
Proceedings of the BICT 2015, 2015
2014
Replicating Kernels with a Short Stride Allows Sparse Reconstructions with Fewer Independent Kernels.
CoRR, 2014
2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
2012
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2012
Combining multiple visual processing streams for locating and classifying objects in video.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2012
Development of invariant feature maps via a computational model of simple and complex cells.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Model Cortical Association Fields Account for the Time Course and Dependence on Target Complexity of Human Contour Perception.
PLoS Comput. Biol., 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Asymmetry and Similarity Phenomena in Backwards Masking Experiments Suggest Internal Reconstruction.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011
2009
Proceedings of the 2009 IEEE Applied Imagery Pattern Recognition Workshop, 2009
2008
Int. J. High Perform. Comput. Appl., 2008
2007
Extracting Number-Selective Responses from Coherent Oscillations in a Computer Model.
Neural Comput., 2007
Microprocess. Microsystems, 2007
2006
See globally, spike locally: oscillations in a retinal model encode large visual features.
Biol. Cybern., 2006
2005
IEEE Trans. Pattern Anal. Mach. Intell., 2005
2004
A theory of the Benham Top based on center-surround interactions in the parvocellular pathway.
Neural Networks, 2004
Neural Comput., 2004
Proceedings of the 6th NASA / DoD Workshop on Evolvable Hardware (EH 2004), 2004
Proceedings of the 33rd Applied Image Pattern Recognition Workshop (AIPR 2004), 2004
2003
Role of synaptic feedback and intrinsic voltage-gated currents in shaping cone light responses.
Neurocomputing, 2003
2002
Dynamic imaging of brain function: toward convergence with neural network simulation.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
1998
A Mathematical Model of the Cerebellar-Olivary System II: Motor Adaptation Through Systematic Disruption of Climbing Fiber Equilibrium.
J. Comput. Neurosci., 1998
A Mathematical Model of the Cerebellar-Olivary System I: Self-Regulating Equilibrium of Climbing Fiber Activity.
J. Comput. Neurosci., 1998