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Learning Composable Energy Surrogates for PDE Order Reduction

Learning Composable Energy Surrogates for PDE Order Reduction

13 May 2020
Alex Beatson
Jordan T. Ash
Geoffrey Roeder
Tianju Xue
Ryan P. Adams
    AI4CE
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Papers citing "Learning Composable Energy Surrogates for PDE Order Reduction"

4 / 4 papers shown
Title
A composable machine-learning approach for steady-state simulations on
  high-resolution grids
A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade
C. Hill
Lalit Ghule
Jay Pathak
AI4CE
33
7
0
11 Oct 2022
Fast PDE-constrained optimization via self-supervised operator learning
Fast PDE-constrained optimization via self-supervised operator learning
Sizhuang He
Mohamed Aziz Bhouri
P. Perdikaris
47
28
0
25 Oct 2021
A composable autoencoder-based iterative algorithm for accelerating
  numerical simulations
A composable autoencoder-based iterative algorithm for accelerating numerical simulations
Rishikesh Ranade
C. Hill
Haiyang He
Amir Maleki
Norman Chang
Jay Pathak
AI4CE
41
5
0
07 Oct 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings
Gone Fishing: Neural Active Learning with Fisher Embeddings
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Sham Kakade
29
86
0
17 Jun 2021
1