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David Widemann
David Widemann
Researcher, Lightmatter
Bestätigte E-Mail-Adresse bei llnl.gov - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1602022
Blind image deconvolution: Motion blur estimation
F Krahmer, Y Lin, B McAdoo, K Ott, J Wang, D Widemann, B Wohlberg
1182006
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
972016
Efficient nonlinear manifold reduced order model
Y Kim, Y Choi, D Widemann, T Zohdi
arXiv preprint arXiv:2011.07727, 2020
452020
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
332017
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
222017
Dimensionality reduction for hyperspectral data
DP Widemann
University of Maryland, College Park, 2008
82008
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
72018
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
62019
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
52022
Efficient nonlinear manifold reduced order model (2020)
Y Kim, Y Choi, D Widemann, T Zohdi
arXiv preprint arXiv:2011.07727, 2011
52011
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
32020
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
32017
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
12022
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection
L Nair, D Widemann, B Turcott, N Moore, A Wleklinski, D Bunandar, ...
2023 IEEE High Performance Extreme Computing Conference (HPEC), 1-9, 2023
2023
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 Laboratory (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 Laboratory (LLNL), Livermore, CA (United States), 2019
2019
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