Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks. - Sharmila Karumuri; Rohit Tripathy 001; Ilias Bilionis; Jitesh H. Panchal (J. Comput. Phys., 2020)

Learning to solve Bayesian inverse problems: An amortized variational inference approach. - Sharmila Karumuri; Ilias Bilionis (CoRR, 2023)

Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides. - Sharmila Karumuri; Ilias Bilionis (J. Comput. Phys., 2024)

Efficient Training of Deep Neural Operator Networks via Randomized Sampling. - Sharmila Karumuri; Lori Graham-Brady; Somdatta Goswami (World Sci. Annu. Rev. Artif. Intell., 2025)

Physics-Informed Latent Neural Operator for Real-time Predictions of Complex Physical Systems. - Sharmila Karumuri; Lori Graham-Brady; Somdatta Goswami (CoRR, 2025)