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Rohit Tripathy

Gradient-free active subspace recovery using deep neural networks
Deep Active Subspaces: A Scalable Method for High-Dimensional Uncertainty Propagation
Simulator-free Solution of High-Dimensional Stochastic Elliptic Partial Differential Equations using Deep Neural Networks
Deep neural networks for multifidelity uncertainty quantification
Learning nonlinear correlations between multifidelity models using deep neural networks
Solving multiscale stochastic partial differential equations using deep neural networks
Probablistic active subspaces
Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation