Concepedia

Dylan M. Paiton

DM

8

Publications

157

Citations

8

H-Index

2014

Active since

Affiliations

University of California, Berkeley(Current)

Max Planck Institute for Intelligent Systems

University of Tübingen

Berkeley College

Stanford University

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

Top concepts

EngineeringDeep LearningComputer ScienceMachine LearningImage AnalysisMachine VisionComputer VisionCompressive SensingPattern RecognitionSignal Processing

Publications per year

2014–2020

8

Publications

8

Selectivity and robustness of sparse coding networks

Dylan M. Paiton, Charles G. Frye, Sheng Y. Lundquist et al. · Journal of Vision · 2020 · 30 citations · Full text

Engineering, Machine Learning, Irrelevant Perturbations +16

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 et al. · 2018 · 22 citations

Lossy Compression, Engineering, Image Coding +12

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse\n Coding

David Klindt, Lukas Schott, Yash Sharma et al. · arXiv (Cornell University) · 2020 · 22 citations · Full text

Replicating Kernels with a Short Stride Allows Sparse Reconstructions with Fewer Independent Kernels

P. F. Schultz, Dylan M. Paiton, Wei Lü et al. · arXiv (Cornell University) · 2014 · 19 citations · Full text

Engineering, Machine Learning, Learned Convolution Kernels +21

Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage

Ryan Zarcone, Dylan M. Paiton, Alex Anderson et al. · 2018 · 18 citations

Lossy Compression, Engineering, Machine Learning +20

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