David Widemann - Concepedia

Author

David Widemann

Lawrence Livermore National Laboratory

Also Known As

David P. Widemann, David Peter Widemann, David Widemann, Widemann, David

Publications

525

Citations

H-Index

Concepts

All Affiliations

Lawrence Livermore National Laboratory University of California, Berkeley Syracuse University

About

David Widemann is an author at Lawrence Livermore National Laboratory specializing in engineering, computer engineering, and neuromorphic engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	501
2	Computer Engineering	7	7	247
3	Computer Science	5	5	173
4	Social Sciences	4	4	134
5	Data Science	2	2	74

David Widemann

Publications

501

Citations

H-Index

Page 1

	Year	Citations
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder Youngkyu Kim, Youngsoo Choi, David Widemann, Journal of Computational Physics Reduced Order ModelingOrder ModelEngineeringMachine LearningPhysics	2021	189
Blind Image Deconvolution Motion Blur Estimation Felix Krahmer, Youzuo Lin, Bonnie McAdoo, University of Minnesota Digital Conservancy (University of Minnesota) DeblurringMachine VisionImage AnalysisLinear Motion BlurEngineering	2006	65
TrueNorth Ecosystem for Brain-Inspired Computing: Scalable Systems, Software, and Applications Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Truenorth EcosystemEngineeringComputational NeuroscienceNeuroinformaticsComputer Engineering	2016	60
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, IEEE International Conference on High Performance Computing, Data, and Analytics Brain-inspired Truenorth ProcessorEngineeringNeural Networks (Machine Learning)Neural NetworkComputer Architecture	2016	43
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder Youngkyu Kim, Youngsoo Choi, David Widemann, arXiv (Cornell University) Numerical AnalysisNonlinear Manifold RomReduced Order ModelingEngineeringMachine Learning	2020	42
Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system Md Zahangir Alom, Brian Van Essen, Adam Moody, Artificial IntelligenceEngineeringQuantum ComputingQuantum Optimization AlgorithmComputational Neuroscience	2017	39
Efficient nonlinear manifold reduced order model Youngkyu Kim, Youngsoo Choi, David Widemann, arXiv (Cornell University) Numerical AnalysisIntrinsic Solution SpaceReduced Order ModelingEngineeringData Science	2020	32
A spike-based long short-term memory on a neurosynaptic processor Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) Synaptic PlasticityEngineeringMachine LearningBenchmark Lstm ApplicationsComputational Neuroscience	2017	19
Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, IEEE Journal on Emerging and Selected Topics in Circuits and Systems EngineeringMachine LearningNeural NetworkRecurrent Neural NetworkNeurochip	2018	12

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