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Fluid Flow Mass Transport for Generative Networks
v1v2 (latest)

Fluid Flow Mass Transport for Generative Networks

3 October 2019
Jingrong Lin
Keegan Lensink
Dirk Soffker
    GAN
ArXiv (abs)PDFHTML

Papers citing "Fluid Flow Mass Transport for Generative Networks"

5 / 5 papers shown
Title
An Introduction to Deep Generative Modeling
An Introduction to Deep Generative Modeling
Lars Ruthotto
E. Haber
AI4CE
118
232
0
09 Mar 2021
Wasserstein-based Projections with Applications to Inverse Problems
Wasserstein-based Projections with Applications to Inverse Problems
Howard Heaton
Samy Wu Fung
A. Lin
Stanley Osher
W. Yin
82
3
0
05 Aug 2020
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal
  Transport
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Derek Onken
Samy Wu Fung
Xingjian Li
Lars Ruthotto
OT
94
162
0
29 May 2020
Alternating the Population and Control Neural Networks to Solve
  High-Dimensional Stochastic Mean-Field Games
Alternating the Population and Control Neural Networks to Solve High-Dimensional Stochastic Mean-Field Games
A. Lin
Samy Wu Fung
Wuchen Li
L. Nurbekyan
Stanley J. Osher
102
74
0
24 Feb 2020
A Machine Learning Framework for Solving High-Dimensional Mean Field
  Game and Mean Field Control Problems
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
Lars Ruthotto
Stanley Osher
Wuchen Li
L. Nurbekyan
Samy Wu Fung
AI4CE
180
220
0
04 Dec 2019
1