Dylan M. Paiton - Concepedia

Author

Dylan M. Paiton

Also Known As

Dylan M. Paiton, Dylan Paiton, Paiton, Dylan, Paiton, Dylan M., Paiton, Dylan M.; Kenyon, Garrett T.; Brumby, Steven P.; Schultz, Peter F.; George, John S.

Publications

187

Citations

H-Index

Concepts

All Affiliations

University of California, Berkeley Max Planck Institute for Intelligent Systems University of Tübingen Berkeley College Stanford University

About

Dylan M. Paiton is an author at University of California, Berkeley specializing in engineering, deep learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	119
2	Computer Science	4	4	85
3	Computer Engineering	2	2	40
4	Social Sciences	1	1	30
5	Data Science	1	1	18

Dylan M. Paiton

Publications

157

Citations

H-Index

Page 1

	Year	Citations
Selectivity and robustness of sparse coding networks Dylan M. Paiton, Charles G. Frye, Sheng Y. Lundquist, Journal of Vision EngineeringMachine LearningIrrelevant PerturbationsAutoencodersNetwork Analysis	2020	30
Error-Resilient Analog Image Storage and Compression with Analog-Valued RRAM Arrays: An Adaptive Joint Source-Channel Coding Approach Xin Zheng, Ryan Zarcone, Dylan M. Paiton, Lossy CompressionEngineeringImage CodingImage StorageImage Compression	2018	22
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse\n Coding David Klindt, Lukas Schott, Yash Sharma, arXiv (Cornell University)	2020	22
Replicating Kernels with a Short Stride Allows Sparse Reconstructions with Fewer Independent Kernels P. F. Schultz, Dylan M. Paiton, Wei Lü, arXiv (Cornell University) EngineeringMachine LearningLearned Convolution KernelsFewer Independent KernelsAtomic Decomposition	2014	19
Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage Ryan Zarcone, Dylan M. Paiton, Alex Anderson, Lossy CompressionEngineeringMachine LearningAutoencodersComputer Architecture	2018	18
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding David Klindt, Lukas Schott, Yash Sharma, Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) EngineeringMachine LearningUnsupervised Learning ModelAtomic DecompositionVideo Interpretation	2020	18
Replicating Kernels with a Short Stride Allows Sparse Reconstructions\n with Fewer Independent Kernels P. F. Schultz, Dylan M. Paiton, Wei Lü, arXiv (Cornell University)	2014	16
Sparse encoding of binocular images for depth inference Sheng Y. Lundquist, Dylan M. Paiton, P. F. Schultz, EngineeringImage FeaturesDepth MapImage AnalysisPattern Recognition	2016	12

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