Publications

Rohit Tripathy, Ilias Bilionis (2019). Deep Active Subspaces: A Scalable Method for High-Dimensional Uncertainty Propagation.

Sharmila Karumuri, Rohit Tripathy, Ilias Bilionis, Jitesh Panchal (2019). Simulator-free Solution of High-Dimensional Stochastic Elliptic Partial Differential Equations using Deep Neural Networks. arXiv preprint arXiv:1902.05200 (Accepted for publication in the Journal of Computational Physics).

Rohit K Tripathy, Ilias Bilionis (2018). Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification. Journal of Computational Physics.

Rohit Tripathy, Ilias Bilionis, Marcial Gonzalez (2016). Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation. Journal of Computational Physics.