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CE Seminar Series – Uncertainty quantification and reduction with conditional Gaussian process models in high dimensional stochastic systems
CE Seminar Series – Uncertainty quantification and reduction with conditional Gaussian process models in high dimensional stochastic systems
Ramakrishna Tipireddy, Ph.D. Research Scientist in the Physical and Computational Sciences Directorate Pacific Northwest National Laboratory (PNNL) Abstract This talk will present a brief introduction to uncertainty quantification (UQ) quantification methods for high dimensional stochastic PDEs and introduce conditional Gaussian process (GP) models for...