Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation

22 February 2023

Papers citing "Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation"

7 / 7 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 71 0 0 24 Apr 2025
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks Bingyang Wen Luis Oliveros Colon K. P. Subbalakshmi R. Chandramouli CML GAN 23 14 0 21 Apr 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 115 144 0 16 Feb 2021
Copula Flows for Synthetic Data Generation Sanket Kamthe Samuel A. Assefa M. Deisenroth 53 44 0 03 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 111 368 0 09 Jun 2018
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks E. Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 145 471 0 19 Mar 2017