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David Widemann
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Cited by
Year
Blind image deconvolution: Motion blur estimation
F Krahmer, Y Lin, B McAdoo, K Ott, J Wang, D Widemann, B Wohlberg
1152006
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications
J Sawada, F Akopyan, AS Cassidy, B Taba, MV Debole, P Datta, ...
SC'16: Proceedings of the International Conference for High Performance …, 2016
862016
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
Y Kim, Y Choi, D Widemann, T Zohdi
Journal of Computational Physics 451, 110841, 2022
812022
Efficient nonlinear manifold reduced order model
Y Kim, Y Choi, D Widemann, T Zohdi
arXiv preprint arXiv:2011.07727, 2020
292020
Quadratic unconstrained binary optimization (QUBO) on neuromorphic computing system
MZ Alom, B Van Essen, AT Moody, DP Widemann, TM Taha
2017 International Joint Conference on Neural Networks (IJCNN), 3922-3929, 2017
262017
A spike-based long short-term memory on a neurosynaptic processor
A Shrestha, K Ahmed, Y Wang, DP Widemann, AT Moody, BC Van Essen, ...
2017 IEEE/ACM international conference on computer-aided design (ICCAD), 631-637, 2017
172017
Dimensionality reduction for hyperspectral data
DP Widemann
University of Maryland, College Park, 2008
102008
Bayesian multitask learning regression for heterogeneous patient cohorts
A Goncalves, P Ray, B Soper, D Widemann, M Nygård, JF Nygård, ...
Journal of Biomedical Informatics 100, 100059, 2019
72019
Modular spiking neural circuits for mapping long short-term memory on a neurosynaptic processor
A Shrestha, K Ahmed, Y Wang, DP Widemann, AT Moody, BC Van Essen, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018
62018
Improving five-year survival prediction via multitask learning across HPV-related cancers
A Goncalves, B Soper, M Nygård, JF Nygård, P Ray, D Widemann, ...
Plos one 15 (11), e0241225, 2020
22020
Convolutional sparse coding on neurosynaptic cognitive system
MZ Alom, B Van Essen, AT Moody, DP Widemann, TM Taha
2017 International Joint Conference on Neural Networks (IJCNN), 3609-3616, 2017
22017
Machine learning model training using an analog processor
D Bunandar, L Levkova, N Dronen, L Nair, D Widemann, D Walter, ...
US Patent App. 17/537,156, 2022
2022
Adaptive Block Floating-Point for Analog Deep Learning Hardware
A Basumallik, D Bunandar, N Dronen, N Harris, L Levkova, C McCarter, ...
arXiv preprint arXiv:2205.06287, 2022
2022
Latent Space Simulation for Carbon Capture Design Optimization
B Bartoldson, R Wang, Y Fu, D Widemann, S Nguyen, J Bao, Z Xu, B Ng
Innovative Applications of Artificial Intelligence, 2022
2022
MeshGraphNets
BR Bartoldson, R Wang, BM Ng, PCN Nguyen, JE Cadena Pico, ...
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
2021
Multitask Recommender Systems for Cancer Drug Response
A Ladd, AR Gonçalves, BR Soper, DP Widemann, P Ray, AP Sales
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020
2020
Bayesian Multitask with Structure Learning
BC Soper, DP Widemann, P Ray, AP De Oliveira Sales, AR Goncalves
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2019
2019
Multi-Task Learning Software Suite
A Goncalves, BC Soper, DP Widemann, P Ray, AP Sales
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2019
2019
ROPE: Recoverable Order-Preserving Embedding of Natural Language
DP Widemann, EX Wang, JJ Thiagarajan
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2016
2016
Language Model Expansion Using Distributed Representations of Words
AD Kaplan, DP Widemann, EX Wang
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2016
2016
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Articles 1–20