David P. Widemann

According to our database1, David P. Widemann authored at least 9 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2022
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder.
J. Comput. Phys., 2022

2020
Efficient nonlinear manifold reduced order model.
CoRR, 2020

2019
Bayesian multitask learning regression for heterogeneous patient cohorts.
J. Biomed. Informatics X, 2019

2018
Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

2017
Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Convolutional sparse coding on neurosynaptic cognitive system.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A spike-based long short-term memory on a neurosynaptic processor.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

2016

2014
Frames for subspaces of $\mathbb{C}^N$.
CoRR, 2014


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