| Paper: | MO-SP.1P.3 |
| Session: | Application of Machine/Deep Learning and Uncertainty Quantification Techniques in Computational Electromagnetics |
| Location: | Grand Ballroom C |
| Session Time: | Monday, July 8, 13:20 - 17:00 |
| Presentation Time: | Monday, July 8, 14:00 - 14:20 |
| Presentation: |
Special Session Oral
|
| Paper Title: |
Fast Surrogate Model-Assisted Uncertainty Quantification via Quantized Tensor Train Decompositions |
| Authors: |
Luis Gomez, Duke University School of Medicine, United States; Abdulkadir Yucel, Nanyang Technological University, Singapore; Weitian Sheng, Cadence Design Systems, United States; Eric Michielssen, University of Michigan, United States |
