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AutoDiff: combining Auto-encoder and Diffusion model for tabular data
  synthesizing
v1v2 (latest)

AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing

24 October 2023
Namjoon Suh
Xiaofeng Lin
Din-Yin Hsieh
Merhdad Honarkhah
Guang Cheng
ArXiv (abs)PDFHTMLGithub (12★)

Papers citing "AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing"

12 / 12 papers shown
Title
A Comprehensive Survey of Synthetic Tabular Data Generation
A Comprehensive Survey of Synthetic Tabular Data Generation
Ruxue Shi
Yili Wang
Mengnan Du
Xu Shen
Xin Wang
247
2
0
23 Apr 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions
Zhong Li
Qi Huang
Lincen Yang
Jiayang Shi
Zhao Yang
Niki van Stein
Thomas Bäck
M. Leeuwen
DiffM
118
0
0
24 Feb 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Weilin Ruan
Siru Zhong
Haomin Wen
Yuxuan Liang
AI4TS
143
1
0
16 Feb 2025
Recurrent Neural Goodness-of-Fit Test for Time Series
Recurrent Neural Goodness-of-Fit Test for Time Series
Aoran Zhang
Wenbin Zhou
Liyan Xie
Shixiang Zhu
93
1
0
17 Oct 2024
A Deep Generative Framework for Joint Households and Individuals
  Population Synthesis
A Deep Generative Framework for Joint Households and Individuals Population Synthesis
Xiao Qian
Utkarsh Gangwal
Shangjia Dong
Rachel Davidson
88
1
0
30 Jun 2024
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series
  tabular data synthesizing
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing
Namjoon Suh
Yuning Yang
Din-Yin Hsieh
Qitong Luan
Shirong Xu
Shixiang Zhu
Guang Cheng
133
7
0
23 Jun 2024
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic
  Data
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data
Yu Xia
Chi-Hua Wang
Joshua Mabry
Guang Cheng
ELM
94
5
0
19 Jun 2024
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying
  in Tabular Generative Models
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models
Joshua Ward
Chi-Hua Wang
Guang Cheng
80
4
0
18 Jun 2024
CTSyn: A Foundational Model for Cross Tabular Data Generation
CTSyn: A Foundational Model for Cross Tabular Data Generation
Xiaofeng Lin
Chenheng Xu
Matthew Yang
Guang Cheng
81
4
0
07 Jun 2024
Navigating Tabular Data Synthesis Research: Understanding User Needs and
  Tool Capabilities
Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilities
Maria F. Davila
Sven Groen
Fabian Panse
Wolfram Wingerath
LMTD
65
2
0
31 May 2024
Automated data processing and feature engineering for deep learning and
  big data applications: a survey
Automated data processing and feature engineering for deep learning and big data applications: a survey
A. Mumuni
F. Mumuni
TPM
84
60
0
18 Mar 2024
A Survey on Statistical Theory of Deep Learning: Approximation, Training
  Dynamics, and Generative Models
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
Namjoon Suh
Guang Cheng
MedIm
109
14
0
14 Jan 2024
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