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Solving inverse-PDE problems with physics-aware neural networks

Solving inverse-PDE problems with physics-aware neural networks

10 January 2020
Samira Pakravan
Pouria A. Mistani
M. Aragon-Calvo
Frédéric Gibou
    AI4CE
ArXivPDFHTML

Papers citing "Solving inverse-PDE problems with physics-aware neural networks"

10 / 10 papers shown
Title
Neural Partial Differential Equations with Functional Convolution
Neural Partial Differential Equations with Functional Convolution
Z. Wu
Xingzhe He
Yijun Li
Cheng Yang
Rui Liu
S. Xiong
Bo Zhu
23
1
0
10 Mar 2023
Partial Differential Equations Meet Deep Neural Networks: A Survey
Partial Differential Equations Meet Deep Neural Networks: A Survey
Shudong Huang
Wentao Feng
Chenwei Tang
Jiancheng Lv
AI4CE
AIMat
26
17
0
27 Oct 2022
Neuro-symbolic partial differential equation solver
Neuro-symbolic partial differential equation solver
Pouria A. Mistani
Samira Pakravan
Rajesh Ilango
S. Choudhry
Frédéric Gibou
31
1
0
25 Oct 2022
JAX-DIPS: Neural bootstrapping of finite discretization methods and
  application to elliptic problems with discontinuities
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities
Pouria A. Mistani
Samira Pakravan
Rajesh Ilango
Frédéric Gibou
16
8
0
25 Oct 2022
Transformer Meets Boundary Value Inverse Problems
Transformer Meets Boundary Value Inverse Problems
Ruchi Guo
Shuhao Cao
Long Chen
MedIm
36
21
0
29 Sep 2022
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
Mengyu Chu
Lingjie Liu
Q. Zheng
Erik Franz
Hans-Peter Seidel
Christian Theobalt
Rhaleb Zayer
AI4CE
28
53
0
14 Jun 2022
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits
Eyal Rozenberg
Aviv Karnieli
O. Yesharim
Joshua Foley-Comer
Sivan Trajtenberg‐Mills
Daniel Freedman
A. Bronstein
A. Arie
40
0
0
11 Dec 2021
Short-term traffic prediction using physics-aware neural networks
Short-term traffic prediction using physics-aware neural networks
M. Pereira
Annika Lang
Balázs Kulcsár
34
21
0
21 Sep 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable
  Generative Modeling
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi
Alexandros Kalousis
DRL
AI4CE
30
54
0
25 Feb 2021
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
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