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ExGAN: Adversarial Generation of Extreme Samples

ExGAN: Adversarial Generation of Extreme Samples

17 September 2020
Siddharth Bhatia
Arjit Jain
Bryan Hooi
ArXivPDFHTML

Papers citing "ExGAN: Adversarial Generation of Extreme Samples"

7 / 7 papers shown
Title
Combining deep generative models with extreme value theory for synthetic
  hazard simulation: a multivariate and spatially coherent approach
Combining deep generative models with extreme value theory for synthetic hazard simulation: a multivariate and spatially coherent approach
Alison Peard
Jim Hall
AI4CE
24
3
0
30 Nov 2023
Inference and Sampling for Archimax Copulas
Inference and Sampling for Archimax Copulas
Yuting Ng
Ali Hasan
Vahid Tarokh
26
5
0
27 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
15
3
0
30 Oct 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample
  Generation on the Boundary
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
OODD
23
6
0
28 Oct 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
285
10,354
0
12 Dec 2018
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
158
176
0
04 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
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