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Learning Vine Copula Models For Synthetic Data Generation

Learning Vine Copula Models For Synthetic Data Generation

4 December 2018
Yi Sun
Alfredo Cuesta-Infante
K. Veeramachaneni
ArXiv (abs)PDFHTML

Papers citing "Learning Vine Copula Models For Synthetic Data Generation"

5 / 5 papers shown
Title
EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models
EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models
Nan Lin
Peter Palensky
Pedro P. Vergara
DiffM
95
0
0
18 Jul 2024
A Correlation- and Mean-Aware Loss Function and Benchmarking Framework
  to Improve GAN-based Tabular Data Synthesis
A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis
Minh H. Vu
Daniel Edler
C. Wibom
Tommy Löfstedt
Beatrice Melin
M. Rosvall
57
2
0
27 May 2024
A Python Package for Sampling from Copulae: clayton
A Python Package for Sampling from Copulae: clayton
Alexis Boulin
51
0
0
31 Mar 2022
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic
  Data
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
Georg Steinbuss
Klemens Böhm
55
39
0
15 Apr 2020
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CMLMUSyDaGAN
130
1,277
0
01 Jul 2019
1