Physics-informed random neural architectures on compact boundaryless multiply connected manifolds for random-operator models in machine learning and uncertainty quantification

1, 0, Supervised learning, Compact boundaryless multiply connected manifolds, Latent random fields on manifolds, Stochastic physics-informed neural network SPINN, Boundary-value problem with random operator, Random neural architecture on manifolds