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Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning
Physics-informed machine learning (PIML) as a means of solving partial differential equations (PDE) has garnered much attention in the Computational Science and Engineering... -
RaSeedGAN: Randomly-SEEDed super-resolution GAN for sparse measurements
A novel deep-learning approach based on generative adversarial networks to perform super-resolution reconstruction of sparse measurements. -
PI-INN dataset
The dataset used in this paper for Bayesian inverse problems, consisting of 3, 2, and 0 samples.
