Technical Program

Paper Detail

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