Rohit Tripathy

Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification

Rohit Tripathy, Ilias Bilionis · Journal of Computational Physics · 2018 · 458 citations · Full text

Engineering, Machine Learning, Data Science +10

Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation

Rohit Tripathy, Ilias Bilionis, Marcial Gonzalez · Journal of Computational Physics · 2016 · 178 citations

Engineering, Built-in Dimensionality Reduction, Data Science +8

Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks

Sharmila Karumuri, Rohit Tripathy, Ilias Bilionis et al. · Journal of Computational Physics · 2019 · 157 citations · Full text

Deep Neural Networks, Engineering, Pde-constrained Optimization +4

Selecting deep neural networks that yield consistent attribution-based interpretations for genomics.

Antonio Majdandzic, Chandana Rajesh, Amber Tang et al. · PubMed · 2022 · 12 citations · Full text

Effective integration of multi-omics with prior knowledge to identify biomarkers via explainable graph neural networks

Rohit Tripathy, Zachary Frohock, Hong Wang et al. · npj Systems Biology and Applications · 2025 · 10 citations · Full text