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Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent
  Space

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

14 October 2023
Hengrui Zhang
Jiani Zhang
Balasubramaniam Srinivasan
Zhengyuan Shen
Xiao Qin
Christos Faloutsos
Huzefa Rangwala
George Karypis
    DiffM
ArXivPDFHTML

Papers citing "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space"

26 / 26 papers shown
Title
From Search To Sampling: Generative Models For Robust Algorithmic Recourse
From Search To Sampling: Generative Models For Robust Algorithmic Recourse
Prateek Garg
Lokesh Nagalapatti
Sunita Sarawagi
31
0
0
12 May 2025
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data
Zexi Yao
Natasa Krco
Georgi Ganev
Yves-Alexandre de Montjoye
145
0
0
02 May 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
Jan Kapar
Niklas Koenen
Martin Jullum
64
0
0
29 Apr 2025
ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes
ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes
Amartya Mukherjee
Ruizhi Deng
He Zhao
Yuzhen Mao
Leonid Sigal
Frederick Tung
DiffM
AI4TS
53
0
0
29 Apr 2025
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
49
2
0
23 Apr 2025
Diffusion Transformers for Tabular Data Time Series Generation
Diffusion Transformers for Tabular Data Time Series Generation
Fabrizio Garuti
E. Sangineto
Simone Luetto
L. Forni
Rita Cucchiara
64
0
0
10 Apr 2025
How Well Does Your Tabular Generator Learn the Structure of Tabular Data?
Xiangjian Jiang
Nikola Simidjievski
M. Jamnik
LMTD
86
0
0
13 Mar 2025
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
Annie D'souza
Swetha M
Sunita Sarawagi
99
0
0
20 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
79
1
0
16 Feb 2025
Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation
Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation
Yunbo Long
Liming Xu
Alexandra Brintrup
85
1
0
06 Feb 2025
TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data
TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data
P. Tiwald
Ivona Krchova
Andrey Sidorenko
Mariana Vargas-Vieyra
Mario Scriminaci
Michael Platzer
47
1
0
21 Jan 2025
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li
Yuan Gao
Jinda Lu
Junfeng Fang
Congcong Wen
Hui Lin
Xiang Wang
53
1
0
09 Oct 2024
Privacy Vulnerabilities in Marginals-based Synthetic Data
Privacy Vulnerabilities in Marginals-based Synthetic Data
Steven Golob
Sikha Pentyala
Anuar Maratkhan
Martine De Cock
26
3
0
07 Oct 2024
Targeted synthetic data generation for tabular data via hardness characterization
Targeted synthetic data generation for tabular data via hardness characterization
Tommaso Ferracci
Leonie Goldmann
Anton Hinel
Francesco Sanna Passino
135
0
0
01 Oct 2024
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
Jian Qian
Miao Sun
Sifan Zhou
Biao Wan
Minhao Li
Patrick Chiang
39
7
0
05 Jul 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
34
1
0
31 May 2024
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion
  Models
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
Wei Pang
Masoumeh Shafieinejad
Lucy Liu
Xi He
54
8
0
28 May 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Zeyu Yang
Peikun Guo
Khadija Zanna
Akane Sano
Xiaoxue Yang
Akane Sano
DiffM
34
8
0
12 Apr 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang
Weijie Xu
Fiona Anting Tan
Jiani Zhang
Ziqing Hu
Yanjun Qi
Scott Nickleach
Diego Socolinsky
Srinivasan H. Sengamedu
Christos Faloutsos
LMTD
ALM
39
66
0
27 Feb 2024
Continuous Diffusion for Mixed-Type Tabular Data
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller
Kathrin Gruber
Dennis Fok
DiffM
53
5
0
16 Dec 2023
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
Simone Luetto
Fabrizio Garuti
E. Sangineto
L. Forni
Rita Cucchiara
LMTD
AI4TS
87
10
0
13 Feb 2023
STaSy: Score-based Tabular data Synthesis
STaSy: Score-based Tabular data Synthesis
Jayoung Kim
C. Lee
Noseong Park
DiffM
59
59
0
08 Oct 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
F. I. F. Richard Yu
Radu Timofte
Luc Van Gool
DiffM
233
1,355
0
24 Jan 2022
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
59
186
0
17 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
207
394
0
10 Feb 2021
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,256
0
09 Jun 2011
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