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327 * ! Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-143C
On Surrogate Modeling of Emerging Issues in Physical and Engineering Simulators — Topic Contributed Papers
Section on Physical and Engineering Sciences, ENAR, Section on Bayesian Statistical Science
Organizer(s): Bledar Alex Konomi, University of Cincinnati
Chair(s): Emily L Kang, University of Cincinnati
2:05 PM A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees
Zhao Tang Luo, Texas A&M University; Huiyan Sang, Texas A&M University; Bani Mallick, Texas A&M University
2:25 PM Multifidelity Karhunen-Loeve Expansion Surrogate Models for Uncertainty Propagation
Xun Huan, University of Michigan; Aniket Jivani, University of Michigan; Cosmin Safta, Sandia National Laboratories
2:45 PM Dimension Reduction for Gaussian Process Models via Convex Combination of Kernels
Lulu Kang, Illinois Institute of Technology
3:05 PM B-DeepONet: An Enhanced Bayesian DeepONet for Solving Noisy Parametric PDEs Using Accelerated Replica Exchange SGLD
Guang Lin, Purdue University; Christian Moya, Purdue University; Zecheng Zhang, Purdue University
3:25 PM Emulating the Magnitude and Location of the Stormwise Maximum Surge Level
Whitney Huang, Clemson University; Taylor Asher, University of North Carolina at Chapel Hill
3:45 PM Floor Discussion