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Enforcing constraints for interpolation and extrapolation in Generative
  Adversarial Networks

Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks

22 March 2018
P. Stinis
Tobias J. Hagge
A. Tartakovsky
Enoch Yeung
    GAN
    AI4CE
ArXivPDFHTML

Papers citing "Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks"

4 / 4 papers shown
Title
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Xinghao Dong
Chuanqi Chen
Jin-Long Wu
DiffM
AI4CE
41
5
0
06 Aug 2024
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
Bridging the gap between AI and Healthcare sides: towards developing
  clinically relevant AI-powered diagnosis systems
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
Changhee Han
L. Rundo
K. Murao
T. Nemoto
Hideki Nakayama
MedIm
30
27
0
12 Jan 2020
Enforcing constraints for time series prediction in supervised,
  unsupervised and reinforcement learning
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning
P. Stinis
AI4TS
AI4CE
30
11
0
17 May 2019
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