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Dylan M Paiton
Dylan M Paiton
Institute for Theoretical Physics, University of Tübingen
Verified email at bethgelab.org
Title
Cited by
Cited by
Year
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
D Klindt, L Schott, Y Sharma, I Ustyuzhaninov, W Brendel, M Bethge, ...
International Conference on Learning Representations, 2021
1232021
The sparse manifold transform
Y Chen, DM Paiton, BA Olshausen
Advances in Neural Information Processing Systems 31, 10513--10524, 2018
632018
Selectivity and robustness of sparse coding networks
DM Paiton, CG Frye, SY Lundquist, JD Bowen, R Zarcone, BA Olshausen
Journal of vision 20 (12), 10-10, 2020
442020
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
332014
Error-resilient analog image storage and compression with analog-valued rram arrays: an adaptive joint source-channel coding approach
X Zheng, R Zarcone, D Paiton, J Sohn, W Wan, B Olshausen, HSP Wong
2018 IEEE International Electron Devices Meeting (IEDM), 3.5. 1-3.5. 4, 2018
282018
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
242015
Joint source-channel coding with neural networks for analog data compression and storage
R Zarcone, D Paiton, A Anderson, J Engel, HSP Wong, B Olshausen
Data Compression Conference, 147-156, 2018
222018
Sparse encoding of binocular images for depth inference
SY Lundquist, DM Paiton, PF Schultz, GT Kenyon
2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI …, 2016
142016
System and method for automated object detection in an image
GT Kenyon, SP Brumby, JS George, DM Paiton, PF Schultz
US Patent 9,152,888, 2015
142015
Analysis and applications of the locally competitive algorithm
DM Paiton
UC Berkeley, 2019
82019
A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations
DM Paiton, SY Lundquist, WB Shainin, X Zhang, PF Schultz, GT Kenyon
The First International Workshop on Computational Models of the Visual …, 2016
52016
Combining Multiple Visual Processing Streams for Locating and Classifying Objects in Video
DM Paiton, SP Brumby, GT Kenyon, GJ Kunde, KD Peterson, JS George
Southwest Symposium on Image Analysis and Interpretation, 49-52, 2012
42012
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 9,477,901, 2016
32016
Subspace locally competitive algorithms
DM Paiton, S Shepard, KHR Chan, BA Olshausen
Proceedings of the 2020 Annual Neuro-Inspired Computational Elements …, 2020
22020
Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication
SY Lundquist, DM Paiton, BM Nowers, PF Schultz, SP Brumby, ...
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-9, 2013
2013
Combining multiple visual processing streams for lcoating and classifying objects
D Paiton, SP Brumby, G Kenyon, G Kunde, M Ham, J George, ...
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2012
2012
Comparing High-Precision Stellar Diameters From the Navy Prototype Optical Interferometer With Stellar Atmosphere Models as a Function of Wavelength
AM Jorgensen, JT Armstrong, HR Schmitt, EK Baines, D Mozurkewich, ...
American Astronomical Society Meeting Abstracts# 218 218, 323.05, 2011
2011
Stellar Diameters and Limb-Darkening with Extreme Precision: Coherent Integration with the Navy Prototype Optical Interferometer
AM Jorgensen, T Hall, D Paiton, HR Schmitt, JT Armstrong, ...
American Astronomical Society Meeting Abstracts# 217 217, 242.06, 2011
2011
The Geometry of Adversarial Subspaces
DM Paiton, D Schultheiss, M Kuemmerer, Z Cranko, M Bethge
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Articles 1–19