Garrett T. Kenyon

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 55

Top Topics

Dictionary Learning

Image Classification

Top Venues

Publications

Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins
Event-to-Video Conversion for Overhead Object Detection. CoRR (2024)
Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon
The Selectivity and Competition of the Mind's Eye in Visual Perception. ICASSP (2024)
Kyle Henke, Elijah Pelofske, Garrett T. Kenyon, Georg Hahn
Comparing Quantum Annealing and Spiking Neuromorphic Computing for Sampling Binary Sparse Coding QUBO Problems. CoRR (2024)
Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins
Event-To-Video Conversion for Overhead Object Detection. SSIAI (2024)
Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael A. Teti
How Robust Are Energy-Based Models Trained With Equilibrium Propagation? CoRR (2024)
Sundar Kunwar, Zachary Jernigan, Zach Hughes, Chase Somodi, Michael Saccone, Francesco Caravelli, Pinku Roy, Di Zhang, Haiyan Wang, Quanxi Jia, Judith L. MacManus-Driscoll, Garrett T. Kenyon, Andrew Sornborger, Wanyi Nie, Aiping Chen
An Interface-Type Memristive Device for Artificial Synapse and Neuromorphic Computing. Adv. Intell. Syst. 5 (8) (2023)
Gavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. ICONS (2023)
Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. CoRR (2023)
Gavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. CoRR (2023)
Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. ICONS (2023)
Sayanton V. Dibbo, Juston S. Moore, Garrett T. Kenyon, Michael A. Teti
LCANets++: Robust Audio Classification using Multi-layer Neural Networks with Lateral Competition. CoRR (2023)
Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven Nesbit, Garrett T. Kenyon, Yijing Watkins
Dictionary Learning with Accumulator Neurons. ICONS (2022)
Steven C. Nesbit, Andrew O'Brien, Jocelyn Rego, Gavin Parpart, Carlos González Rivera, Garrett T. Kenyon, Edward Kim, Terrence C. Stewart, Yijing Watkins
Think Fast: Time Control in Varying Paradigms of Spiking Neural Networks. ICONS (2022)
Michael Teti, Garrett T. Kenyon, Ben Migliori, Juston Moore
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack. ICML (2022)
James B. Aimone, Prasanna Date, Gabriel A. Fonseca Guerra, Kathleen E. Hamilton, Kyle Henke, Bill Kay, Garrett T. Kenyon, Shruti R. Kulkarni, Susan M. Mniszewski, Maryam Parsa, Sumedh R. Risbud, Catherine D. Schuman, William Severa, J. Darby Smith
A review of non-cognitive applications for neuromorphic computing. Neuromorph. Comput. Eng. 2 (2) (2022)
Haydn T. Jones, Jacob M. Springer, Garrett T. Kenyon, Juston S. Moore
If you've trained one you've trained them all: inter-architecture similarity increases with robustness. UAI (2022)
Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven C. Nesbit, Garrett T. Kenyon, Yijing Watkins
Dictionary Learning with Accumulator Neurons. CoRR (2022)
Kyle Henke, Garrett T. Kenyon, Ben Migliori
Fast Post-Hoc Normalization for Brain Inspired Sparse Coding on a Neuromorphic Device. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
Edward Kim, Trang Ha, Garrett T. Kenyon
Sparse Kernel Transfer Learning. ISVC (2) (2022)
Kyle Henke, Michael Teti, Garrett T. Kenyon, Ben Migliori, Gerd J. Kunde
Apples-to-spikes: The first detailed comparison of LASSO solutions generated by a spiking neuromorphic processor. ICONS (2022)
Jacob M. Springer, Garrett T. Kenyon
It's Hard for Neural Networks to Learn the Game of Life. IJCNN (2021)
Michal Kucer, Diane Oyen, Garrett T. Kenyon
On visual self-supervision and its effect on model robustness. CoRR (2021)
Boram Yoon, Chia-Cheng Chang, Garrett T. Kenyon, Nga T. T. Nguyen, Ermal Rrapaj
Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer. CoRR (2021)
Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon
A Little Robustness Goes a Long Way: Leveraging Universal Features for Targeted Transfer Attacks. CoRR (2021)
Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers. CoRR (2021)
Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks. NeurIPS (2021)
Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon
The Selectivity and Competition of the Mind's Eye in Visual Perception. CoRR (2020)
Jacob M. Springer, Garrett T. Kenyon
It's Hard for Neural Networks To Learn the Game of Life. CoRR (2020)
Nga T. T. Nguyen, Juston S. Moore, Garrett T. Kenyon
Using models of cortical development based on sparse coding to discriminate between real and synthetically-generated faces. AIPR (2020)
Michael Teti, Emily Meyer, Garrett T. Kenyon
Can Lateral Inhibition for Sparse Coding Help Explain V1 Neuronal Responses To Natural Stimuli? SSIAI (2020)
Daniel A. Wang, Charles M. S. Strauss, Jacob M. Springer, Austin Thresher, Howard Pritchard, Garrett T. Kenyon
Sparse MP4. SSIAI (2020)
Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon
Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model. CVPR Workshops (2020)
Kyle Henke, Garrett T. Kenyon, Ben Migliori
Machine Learning in a Post Moore's Law World: Quantum vs. Neuromorphic Substrates. SSIAI (2020)
Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon
Modeling Biological Immunity to Adversarial Examples. CVPR (2020)
Kyle Henke, Ben Migliori, Garrett T. Kenyon
Alien vs. Predator: Brain Inspired Sparse Coding Optimization on Neuromorphic and Quantum Devices. ICRC (2020)
Yijing Watkins, Austin Thresher, Peter F. Schultz, Andreas Wild, Andrew Sornborger, Garrett T. Kenyon
Unsupervised Dictionary Learning via a Spiking Locally Competitive Algorithm. ICONS (2019)
Edward Kim, Jessica Yarnall, Priya Shah, Garrett T. Kenyon
A Neuromorphic Sparse Coding Defense to Adversarial Images. ICONS (2019)
Nga T. T. Nguyen, Garrett T. Kenyon
Image classification using quantum inference on the D-Wave 2X. CoRR (2019)
Mohit L. Dubey, Haydn Jones, Austin Thresher, Garrett T. Kenyon
Separating musical sources with convolutional sparse coding. APPIS (2019)
Jacob M. Springer, Charles M. S. Strauss, Austin M. Thresher, Edward Kim, Garrett T. Kenyon
Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples. CoRR (2018)
Nga T. T. Nguyen, Garrett T. Kenyon
Image Classification Using Quantum Inference on the D-Wave 2X. ICRC (2018)
Will Fischer, Sanketh S. Moudgalya, Judith D. Cohn, Nga T. T. Nguyen, Garrett T. Kenyon
Sparse coding of pathology slides compared to transfer learning with deep neural networks. BMC Bioinform. (18) (2018)
Nga T. T. Nguyen, Garrett T. Kenyon
Radiographic Inference Based on a Model of V1 Simple Cells Implemented on the D-Wave 2X Quantum Annealing Computer. ICRC (2018)
Xinhua Zhang, Yijing Watkins, Garrett T. Kenyon
Can Deep Learning Learn the Principle of Closed Contour Detection? ISVC (2018)
Edward Kim, Darryl Hannan, Garrett T. Kenyon
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. CVPR (2018)
Yijing Watkins, Oleksandr Iaroshenko, Mohammad Sayeh, Garrett T. Kenyon
Image Compression: Sparse Coding vs. Bottleneck Autoencoders. SSIAI (2018)
Sheng Y. Lundquist, Melanie Mitchell, Garrett T. Kenyon
Sparse Coding on Stereo Video for Object Detection. CoRR (2017)
Edward Kim, Darryl Hannan, Garrett T. Kenyon
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. CoRR (2017)
Nga T. T. Nguyen, Amy E. Larson, Garrett T. Kenyon
Generating Sparse Representations Using Quantum Annealing: Comparison to Classical Algorithms. ICRC (2017)
Jacob Carroll, Nils Carlson, Garrett T. Kenyon
Phase Transitions in Image Denoising via Sparsely Coding Convolutional Neural Networks. CoRR (2017)
Mohit L. Dubey, Garrett T. Kenyon, Nils Carlson, Austin Thresher
Does Phase Matter For Monaural Source Separation? CoRR (2017)
Yijing Watkins, Mohammad Sayeh, Oleksandr Iaroshenko, Garrett T. Kenyon
Image Compression: Sparse Coding vs. Bottleneck Autoencoders. CoRR (2017)
Sunil Thulasidasan, Jeffrey A. Bilmes, Garrett T. Kenyon
Efficient Distributed Semi-Supervised Learning using Stochastic Regularization over Affinity Graphs. CoRR (2016)
Sheng Y. Lundquist, Dylan M. Paiton, Peter F. Schultz, Garrett T. Kenyon
Sparse encoding of binocular images for depth inference. SSIAI (2016)
Mohit L. Dubey, Peter F. Schultz, Garrett T. Kenyon
Learning phase-rich features from streaming auditory images. SSIAI (2016)
Xinhua Zhang, Garrett T. Kenyon
A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification. BICT (2015)
Dylan M. Paiton, Sheng Y. Lundquist, William Shainin, Xinhua Zhang, Peter F. Schultz, Garrett T. Kenyon
A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations. BICT (2015)
Peter F. Schultz, Dylan M. Paiton, Wei Lu, Garrett T. Kenyon
Replicating Kernels with a Short Stride Allows Sparse Reconstructions with Fewer Independent Kernels. CoRR (2014)
Michael D. Thomure, Melanie Mitchell, Garrett T. Kenyon
On the role of shape prototypes in hierarchical models of vision. IJCNN (2013)
Will Landecker, Michael D. Thomure, Luís M. A. Bettencourt, Melanie Mitchell, Garrett T. Kenyon, Steven P. Brumby
Interpreting individual classifications of hierarchical networks. CIDM (2013)
Sheng Y. Lundquist, Dylan M. Paiton, B. M. Nowers, Peter F. Schultz, Steven P. Brumby, A. M. Jorgensen, Garrett T. Kenyon
Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication. IJCNN (2013)
Peter F. Schultz, Luís M. A. Bettencourt, Garrett T. Kenyon
A symmetry-breaking generative model of a simple-cell/complex-cell hierarchy. SSIAI (2012)
Dylan M. Paiton, Steven P. Brumby, Garrett T. Kenyon, Gerd J. Kunde, Kris D. Peterson, Mohammed I. Ham, Peter F. Schultz, John S. George
Combining multiple visual processing streams for locating and classifying objects in video. SSIAI (2012)
Wentao Huang, Zhengping Ji, Steven P. Brumby, Garrett T. Kenyon, Luís M. A. Bettencourt
Development of invariant feature maps via a computational model of simple and complex cells. IJCNN (2012)
Tsvi Achler, Luís M. A. Bettencourt, Garrett T. Kenyon
Asymmetry and Similarity Phenomena in Backwards Masking Experiments Suggest Internal Reconstruction. CogSci (2011)
Vadas Gintautas, Michael I. Ham, Benjamin Kunsberg, Shawn Barr, Steven P. Brumby, Craig Rasmussen, John S. George, Ilya Nemenman, Luís M. A. Bettencourt, Garrett T. Kenyon
Model Cortical Association Fields Account for the Time Course and Dependence on Target Complexity of Human Contour Perception. PLoS Comput. Biol. 7 (10) (2011)
Zhengping Ji, Wentao Huang, Garrett T. Kenyon, Luís M. A. Bettencourt
Hierarchical discriminative sparse coding via bidirectional connections. IJCNN (2011)
Steven P. Brumby, Garrett T. Kenyon, Will Landecker, Craig Rasmussen, Sriram Swaminarayan, Luís M. A. Bettencourt
Large-scale functional models of visual cortex for remote sensing. AIPR (2009)
Dylan G. Allegretti, Garrett T. Kenyon, William C. Priedhorsky
Cellular Automata for Distributed Sensor Networks. Int. J. High Perform. Comput. Appl. 22 (2) (2008)
Jeremy A. Miller, Garrett T. Kenyon
Extracting Number-Selective Responses from Coherent Oscillations in a Computer Model. Neural Comput. 19 (7) (2007)
Reid B. Porter, Jan R. Frigo, Al Conti, Neal R. Harvey, Garrett T. Kenyon, Maya B. Gokhale
A reconfigurable computing framework for multi-scale cellular image processing. Microprocess. Microsystems 31 (8) (2007)
Greg J. Stephens, Sergio Neuenschwander, John S. George, Wolf Singer, Garrett T. Kenyon
See globally, spike locally: oscillations in a retinal model encode large visual features. Biol. Cybern. 95 (4) (2006)
John M. Galbraith, Garrett T. Kenyon, Richard W. Ziolkowski
Time-to-Collision Estimation from Motion Based on Primate Visual Processing. IEEE Trans. Pattern Anal. Mach. Intell. 27 (8) (2005)
Alex Nugent, Garrett T. Kenyon, Reid B. Porter
Unsupervised Adaptation to Improve Fault Tolerance of Neural Network Classifiers. Evolvable Hardware (2004)
Garrett T. Kenyon, Dan Hill, James Theiler, John S. George, David W. Marshak
A theory of the Benham Top based on center-surround interactions in the parvocellular pathway. Neural Networks 17 (5-6) (2004)
Mark Flynn, Henry D. I. Abarbanel, Garrett T. Kenyon
Neurally-Based Algorithms for Image Processing. AIPR (2004)
Garrett T. Kenyon, Bryan J. Travis, James Theiler, John S. George, Greg J. Stephens, David W. Marshak
Stimulus-specific oscillations in a retinal model. IEEE Trans. Neural Networks 15 (5) (2004)
Garrett T. Kenyon, James Theiler, John S. George, Bryan J. Travis, David W. Marshak
Correlated Firing Improves Stimulus Discrimination in a Retinal Model. Neural Comput. 16 (11) (2004)
Garrett T. Kenyon, Bryan J. Travis, David W. Marshak
Role of synaptic feedback and intrinsic voltage-gated currents in shaping cone light responses. Neurocomputing (2003)
John S. George, D. Rector, Garrett T. Kenyon, David M. Schmidt, Bryan J. Travis, C. C. Wood
Dynamic imaging of brain function: toward convergence with neural network simulation. ISBI (2002)
Garrett T. Kenyon, Javier F. Medina, Michael D. Mauk
A Mathematical Model of the Cerebellar-Olivary System II: Motor Adaptation Through Systematic Disruption of Climbing Fiber Equilibrium. J. Comput. Neurosci. 5 (1) (1998)
Garrett T. Kenyon, Javier F. Medina, Michael D. Mauk
A Mathematical Model of the Cerebellar-Olivary System I: Self-Regulating Equilibrium of Climbing Fiber Activity. J. Comput. Neurosci. 5 (1) (1998)