| 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 | 138 | 2022 |
| Blind image deconvolution: Motion blur estimation F Krahmer, Y Lin, B McAdoo, K Ott, J Wang, D Widemann, B Wohlberg | 119 | 2006 |
| 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 | 93 | 2016 |
| Efficient nonlinear manifold reduced order model Y Kim, Y Choi, D Widemann, T Zohdi arXiv preprint arXiv:2011.07727, 2020 | 40 | 2020 |
| 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 | 30 | 2017 |
| 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 | 17 | 2017 |
| Dimensionality reduction for hyperspectral data DP Widemann University of Maryland, College Park, 2008 | 10 | 2008 |
| 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 | 7 | 2019 |
| 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 | 6 | 2018 |
| 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 | 4 | 2022 |
| 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 | 3 | 2020 |
| 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 | 3 | 2017 |
| Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection L Nair, D Widemann, B Turcott, N Moore, A Wleklinski, D Bunandar, ... arXiv preprint arXiv:2309.16783, 2023 | | 2023 |
| 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 |
| 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 |
Youngsoo ChoiResearch Scientist, LLNLVerified email at llnl.gov
