One-shot learning for solution operators of partial differential
equations

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One-shot learning for solution operators of partial differential equations

6 April 2021

Rishikesh Ranade

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Papers citing "One-shot learning for solution operators of partial differential equations"

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Title
FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling Sifan Wang Zehao Dou Tong-Rui Liu Lu Lu DiffM 35 0 0 09 Jun 2025
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems Subhayan De P. Brewick 92 0 0 25 Apr 2023
A composable machine-learning approach for steady-state simulations on high-resolution grids Rishikesh Ranade C. Hill Lalit Ghule Jay Pathak AI4CE 80 8 0 11 Oct 2022
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets Subhayan De Matthew J. Reynolds M. Hassanaly Ryan N. King Alireza Doostan AI4CE 103 38 0 03 Apr 2022
A composable autoencoder-based iterative algorithm for accelerating numerical simulations Rishikesh Ranade C. Hill Haiyang He Amir Maleki Norman Chang Jay Pathak AI4CE 71 6 0 07 Oct 2021