PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty

Paz Fink Shustin, Shashanka Ubaru, Małgorzata J. Zimoń +4

Learning data representations under uncertainty is an important task that emerges in numerous scientific computing and data analysis applications. However, uncertainty quantificati…