Garrett T. Kenyon

87 papers A* 4A 1B 7C 2Misc 2Journal 40Unranked 31

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