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Learning Composable Energy Surrogates for PDE Order Reduction
v1v2 (latest)

Learning Composable Energy Surrogates for PDE Order Reduction

13 May 2020
Alex Beatson
Jordan T. Ash
Geoffrey Roeder
Tianju Xue
Ryan P. Adams
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Learning Composable Energy Surrogates for PDE Order Reduction"

10 / 10 papers shown
Differentiation Through Black-Box Quadratic Programming Solvers
Differentiation Through Black-Box Quadratic Programming Solvers
Connor W. Magoon
Fengyu Yang
Noam Aigerman
Shahar Z. Kovalsky
526
6
0
08 Oct 2024
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural
  Network Nonlinearity
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network NonlinearityInternational Conference on Learning Representations (ICLR), 2023
Deniz Oktay
Mehran Mirramezani
E. Medina
Ryan P. Adams
AI4CE
159
5
0
31 Jan 2023
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Tian Qin
Alex Beatson
Deniz Oktay
N. McGreivy
Ryan P. Adams
AI4CE
180
18
0
03 Nov 2022
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 gridsNeural Information Processing Systems (NeurIPS), 2022
Rishikesh Ranade
C. Hill
Lalit Ghule
Jay Pathak
AI4CE
279
12
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
230
36
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
297
7
0
07 Oct 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings
Gone Fishing: Neural Active Learning with Fisher EmbeddingsNeural Information Processing Systems (NeurIPS), 2021
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Sham Kakade
328
110
0
17 Jun 2021
Learning Dissipative Dynamics in Chaotic Systems
Learning Dissipative Dynamics in Chaotic Systems
Zong-Yi Li
Miguel Liu-Schiaffini
Nikola B. Kovachki
Burigede Liu
Kamyar Azizzadenesheli
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
465
54
0
13 Jun 2021
Efficient and Modular Implicit Differentiation
Efficient and Modular Implicit DifferentiationNeural Information Processing Systems (NeurIPS), 2021
Mathieu Blondel
Quentin Berthet
Marco Cuturi
Roy Frostig
Stephan Hoyer
Felipe Llinares-López
Fabian Pedregosa
Jean-Philippe Vert
543
314
0
31 May 2021
Variational Data Assimilation with a Learned Inverse Observation
  Operator
Variational Data Assimilation with a Learned Inverse Observation OperatorInternational Conference on Machine Learning (ICML), 2021
Thomas Frerix
Dmitrii Kochkov
Jamie A. Smith
Zorah Lähner
M. Brenner
Stephan Hoyer
282
42
0
22 Feb 2021
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