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Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from
  Arbitrary Probability Distributions
v1v2 (latest)

Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions

12 January 2018
Felix Horger
Tobias Würfl
Vincent Christlein
Andreas Maier
    OOD
ArXiv (abs)PDFHTML

Papers citing "Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions"

1 / 1 papers shown
Title
Computation of optimal transport and related hedging problems via
  penalization and neural networks
Computation of optimal transport and related hedging problems via penalization and neural networks
Stephan Eckstein
Michael Kupper
OT
82
50
0
23 Feb 2018
1