Efficient Training of Deep Neural Operator Networks via Randomized Sampling.

Sharmila Karumuri

Sharmila Karumuri Lori Graham-Brady Somdatta Goswami Efficient Training of Deep Neural Operator Networks via Randomized Sampling. 2540001:1-2540001:24 2025 3 World Sci. Annu. Rev. Artif. Intell. https://doi.org/10.1142/S2811032325400016 db/journals/wsarai/wsarai3.html#KarumuriGG25 streams/journals/wsarai

Sharmila Karumuri Lori Graham-Brady Somdatta Goswami Physics-Informed Latent Neural Operator for Real-time Predictions of Complex Physical Systems. 2025 January abs/2501.08428 CoRR https://doi.org/10.48550/arXiv.2501.08428 db/journals/corr/corr2501.html#abs-2501-08428 streams/journals/corr

Sharmila Karumuri Ilias Bilionis Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides. 113117 2024 511 J. Comput. Phys. https://doi.org/10.1016/j.jcp.2024.113117 db/journals/jcphy/jcphy511.html#KarumuriB24 streams/journals/jcphy

Sharmila Karumuri Lori Graham-Brady Somdatta Goswami Efficient Training of Deep Neural Operator Networks via Randomized Sampling. 2024 abs/2409.13280 CoRR https://doi.org/10.48550/arXiv.2409.13280 db/journals/corr/corr2409.html#abs-2409-13280 streams/journals/corr

Sharmila Karumuri Ilias Bilionis Learning to solve Bayesian inverse problems: An amortized variational inference approach. 2023 abs/2305.20004 CoRR https://doi.org/10.48550/arXiv.2305.20004 db/journals/corr/corr2305.html#abs-2305-20004

Sharmila Karumuri Rohit Tripathy 0001 Ilias Bilionis Jitesh H. Panchal Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks. 2020 404 J. Comput. Phys. https://doi.org/10.1016/j.jcp.2019.109120 https://www.wikidata.org/entity/Q126770901 db/journals/jcphy/jcphy404.html#KarumuriTBP20

Ilias Bilionis Somdatta Goswami Lori Graham-Brady Jitesh H. Panchal Rohit Tripathy 0001