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AdjointNet: Constraining machine learning models with physics-based
  codes

AdjointNet: Constraining machine learning models with physics-based codes

8 September 2021
S. Karra
B. Ahmmed
M. Mudunuru
    AI4CE
    PINN
    OOD
ArXivPDFHTML

Papers citing "AdjointNet: Constraining machine learning models with physics-based codes"

3 / 3 papers shown
Title
Physics-integrated generative modeling using attentive planar
  normalizing flow based variational autoencoder
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
Sheikh Waqas Akhtar
DRL
25
0
0
18 Apr 2024
Deep Learning to Estimate Permeability using Geophysical Data
Deep Learning to Estimate Permeability using Geophysical Data
M. Mudunuru
E. Cromwell
H. Wang
X. Chen
19
13
0
08 Oct 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
1