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Copula & Marginal Flows: Disentangling the Marginal from its Joint

Copula & Marginal Flows: Disentangling the Marginal from its Joint

7 July 2019
Magnus Wiese
R. Knobloch
R. Korn
    DRL
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Papers citing "Copula & Marginal Flows: Disentangling the Marginal from its Joint"

7 / 7 papers shown
Title
Graphical Transformation Models
Graphical Transformation Models
Matthias Herp
Johannes Brachem
Michael Altenbuchinger
Thomas Kneib
50
0
0
22 Mar 2025
COMET Flows: Towards Generative Modeling of Multivariate Extremes and
  Tail Dependence
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
Andrew McDonald
Pang-Ning Tan
Lifeng Luo
21
9
0
02 May 2022
Modelling and simulating spatial extremes by combining extreme value
  theory with generative adversarial networks
Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Younes Boulaguiem
Jakob Zscheischler
Edoardo Vignotto
K. Wiel
Sebastian Engelke
18
3
0
30 Oct 2021
On some theoretical limitations of Generative Adversarial Networks
On some theoretical limitations of Generative Adversarial Networks
Benoit Oriol
Alexandre Miot
GAN
11
4
0
21 Oct 2021
Copula-Based Normalizing Flows
Copula-Based Normalizing Flows
M. Laszkiewicz
Johannes Lederer
Asja Fischer
32
7
0
15 Jul 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed
  Distributions
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd P. Huster
Jérémy E. Cohen
Zinan Lin
Kevin S. Chan
Charles A. Kamhoua
Nandi O. Leslie
C. Chiang
Vyas Sekar
GAN
46
26
0
22 Jan 2021
Quant GANs: Deep Generation of Financial Time Series
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese
R. Knobloch
R. Korn
Peter Kretschmer
GAN
AI4TS
AIFin
24
273
0
15 Jul 2019
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