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David Widemann

Adaptive Block Floating-Point for Analog Deep Learning Hardware

May 12, 2022
Ayon Basumallik, Darius Bunandar, Nicholas Dronen, Nicholas Harris, Ludmila Levkova, Calvin McCarter, Lakshmi Nair, David Walter, David Widemann

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* 13 pages including Appendix, 7 figures, under submission at IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

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Latent Space Simulation for Carbon Capture Design Optimization

Dec 22, 2021
Brian Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng

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* Extended version of a paper appearing in the Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22)

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Efficient nonlinear manifold reduced order model

Nov 13, 2020
Youngkyu Kim, Youngsoo Choi, David Widemann, Tarek Zohdi

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* 10 pages, 3 figures. arXiv admin note: substantial text overlap with arXiv:2009.11990

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