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Activity Details

567 * Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
New Approaches for Sparse Gaussian Processes — Invited Papers
Uncertainty Quantification in Complex Systems Interest Group
Organizer(s): Earl Lawrence, Los Alamos National Laboratory
Chair(s): Leanna House, Virginia Tech
3:05 PM Distributed Spatiotemporal Inference Embedded in High-Fidelity Physics Simulators Using Sparse Gaussian Processes
Michael Grosskopf, Los Alamos National Laboratory; Earl Lawrence, Los Alamos National Laboratory; Nathan Urban, Los Alamos National Laboratory; Mary Dorn, Los Alamos National Laboratory; Ayan Biswas, Los Alamos National Laboratory
3:35 PM Sparse Additive Gaussian Process Regression
Hengrui Luo, The Ohio State University; Giovanni Nattino, L'Istituto di Ricerche Farmacologiche Mario Negri IRCCS desidera; Matthew Pratola, The Ohio State University
4:05 PM Gaussian-Process Approximations for Big Data
Matthias Katzfuss, Texas A&M University; Joseph Guinness, Cornell University
4:35 PM Floor Discussion