| 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 | 58 | 2021 |
| The sparse manifold transform Y Chen, DM Paiton, BA Olshausen Advances in Neural Information Processing Systems 31, 10513--10524, 2018 | 43 | 2018 |
| 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 | 32 | 2014 |
| 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 | 25 | 2020 |
| 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 | 24 | 2018 |
| 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 | 19 | 2018 |
| 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 | 19 | 2015 |
| 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 | 13 | 2016 |
| 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 | 12 | 2015 |
| Analysis and applications of the locally competitive algorithm DM Paiton UC Berkeley, 2019 | 7 | 2019 |
| 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 | 5 | 2016 |
| 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 | 4 | 2012 |
| Subspace locally competitive algorithms DM Paiton, S Shepard, KHR Chan, BA Olshausen Proceedings of the Neuro-inspired Computational Elements Workshop, 1-8, 2020 | 2 | 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 9,477,901, 2016 | 2 | 2016 |
| 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 Lab.(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 | | |
Garrett T KenyonLos Alamos National LaboratoryVerified email at lanl.gov
