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Modeling Tabular data using Conditional GAN

Modeling Tabular data using Conditional GAN

1 July 2019
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
    CML
    MU
    SyDa
    GAN
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Papers citing "Modeling Tabular data using Conditional GAN"

50 / 429 papers shown
Title
Unmasking Trees for Tabular Data
Unmasking Trees for Tabular Data
Calvin McCarter
37
3
0
08 Jul 2024
Artificial Inductive Bias for Synthetic Tabular Data Generation in
  Data-Scarce Scenarios
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
Patricia A. Apellániz
Ana Jiménez
Borja Arroyo Galende
J. Parras
Santiago Zazo
51
1
0
03 Jul 2024
Diffusion Models for Tabular Data Imputation and Synthetic Data
  Generation
Diffusion Models for Tabular Data Imputation and Synthetic Data Generation
Mario Villaizán-Vallelado
Matteo Salvatori
Carlos Segura
Ioannis Arapakis
MedIm
DiffM
30
7
0
02 Jul 2024
Improving Trip Mode Choice Modeling Using Ensemble Synthesizer (ENSY)
Improving Trip Mode Choice Modeling Using Ensemble Synthesizer (ENSY)
Amirhossein Parsi
Melina Jafari
Sina Sabzekar
Zahra Amini
34
0
0
01 Jul 2024
LaTable: Towards Large Tabular Models
LaTable: Towards Large Tabular Models
B. V. Breugel
Jonathan Crabbé
Rob Davis
Mihaela van der Schaar
LMTD
36
4
0
25 Jun 2024
Automated Privacy-Preserving Techniques via Meta-Learning
Automated Privacy-Preserving Techniques via Meta-Learning
Tânia Carvalho
Nuno Moniz
Luís Antunes
49
0
0
24 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
71
5
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
37
4
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
39
3
0
18 Jun 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models
Shuo Yang
Chenchen Yuan
Yao Rong
Felix Steinbauer
Gjergji Kasneci
36
1
0
17 Jun 2024
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial
  Network for Synthesizing Tabular Data
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data
Yaobin Ling
Xiaoqian Jiang
Yejin Kim
SyDa
45
4
0
15 Jun 2024
TabularFM: An Open Framework For Tabular Foundational Models
TabularFM: An Open Framework For Tabular Foundational Models
Quan M. Tran
Suong N. Hoang
Lam M. Nguyen
Dzung Phan
Hoang Thanh Lam
LMTD
27
1
0
14 Jun 2024
Causality for Tabular Data Synthesis: A High-Order Structure Causal
  Benchmark Framework
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
Ruibo Tu
Zineb Senane
Lele Cao
Cheng Zhang
Hedvig Kjellström
G. Henter
CML
48
4
0
12 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
41
3
0
07 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
39
2
0
04 Jun 2024
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using
  Transformers with In-context Subsetting
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting
Andrei Margeloiu
A. Bazaga
Nikola Simidjievski
Pietro Lió
M. Jamnik
LMTD
41
5
0
03 Jun 2024
Differentially Private Tabular Data Synthesis using Large Language
  Models
Differentially Private Tabular Data Synthesis using Large Language Models
Toan V. Tran
Li Xiong
SyDa
38
6
0
03 Jun 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep
  Neural Networks for Tabular Data
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
Thibault Simonetto
Salah Ghamizi
Maxime Cordy
AAML
OOD
36
2
0
02 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
34
1
0
31 May 2024
Masked Language Modeling Becomes Conditional Density Estimation for
  Tabular Data Synthesis
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
SeungHwan An
Gyeongdong Woo
Jaesung Lim
ChangHyun Kim
Sungchul Hong
Jong-June Jeon
62
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
43
8
0
28 May 2024
Conditioning on Time is All You Need for Synthetic Survival Data
  Generation
Conditioning on Time is All You Need for Synthetic Survival Data Generation
Mohd Ashhad
Ricardo Henao
29
0
0
27 May 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
35
2
0
27 May 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
Baoren Xiao
Hao Ni
Weixin Yang
GAN
44
0
0
27 May 2024
KiNETGAN: Enabling Distributed Network Intrusion Detection through
  Knowledge-Infused Synthetic Data Generation
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation
Anantaa Kotal
Brandon Luton
Anupam Joshi
34
1
0
26 May 2024
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning
  and Data Augmentation
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation
Chia-Fu Liu
Lipai Huang
Kai Yin
Samuel D. Brody
Ali Mostafavi
AI4CE
26
1
0
23 May 2024
Watermarking Generative Tabular Data
Watermarking Generative Tabular Data
Hengzhi He
Peiyu Yu
Junpeng Ren
Ying Nian Wu
Guang Cheng
57
4
0
22 May 2024
Representation Debiasing of Generated Data Involving Domain Experts
Representation Debiasing of Generated Data Involving Domain Experts
Aditya Bhattacharya
Simone Stumpf
K. Verbert
36
2
0
17 May 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
106
21
0
15 May 2024
Synthetic Tabular Data Validation: A Divergence-Based Approach
Synthetic Tabular Data Validation: A Divergence-Based Approach
Patricia A. Apellániz
Ana Jiménez
Borja Arroyo Galende
J. Parras
Santiago Zazo
29
3
0
13 May 2024
Inference With Combining Rules From Multiple Differentially Private
  Synthetic Datasets
Inference With Combining Rules From Multiple Differentially Private Synthetic Datasets
Leila Nombo
Anne-Sophie Charest
25
0
0
08 May 2024
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
Bing Hu
Ashish Saragadam
Anita Layton
Helen Chen
DiffM
34
1
0
06 May 2024
AnoGAN for Tabular Data: A Novel Approach to Anomaly Detection
AnoGAN for Tabular Data: A Novel Approach to Anomaly Detection
Aditya Singh
Pavan Reddy
32
1
0
05 May 2024
Federated Transfer Component Analysis Towards Effective VNF Profiling
Federated Transfer Component Analysis Towards Effective VNF Profiling
Xunzheng Zhang
Shadi Moazzeni
Juan Marcelo Parra Ullauri
R. Nejabati
Dimitra Simeonidou
39
1
0
26 Apr 2024
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized
  Adaptive Learning
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning
Ming-Mu Kuo
Shouvon Sarker
Lijun Qian
Yujian Fu
Xiangfang Li
Xishuang Dong
AI4Ed
40
1
0
25 Apr 2024
SynthEval: A Framework for Detailed Utility and Privacy Evaluation of
  Tabular Synthetic Data
SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data
A. Lautrup
Tobias Hyrup
Arthur Zimek
Peter Schneider-Kamp
37
10
0
24 Apr 2024
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data
  Generated by Large Language Models
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models
Yefeng Yuan
Yuhong Liu
Liang Cheng
SyDa
ELM
23
2
0
20 Apr 2024
Multi-objective evolutionary GAN for tabular data synthesis
Multi-objective evolutionary GAN for tabular data synthesis
Nian Ran
B. I. Nasution
C. Little
Richard Allmendinger
Mark Elliot
24
4
0
15 Apr 2024
An evaluation framework for synthetic data generation models
An evaluation framework for synthetic data generation models
I. Livieris
Nikos Alimpertis
George Domalis
Dimitris Tsakalidis
SyDa
ELM
55
8
0
13 Apr 2024
An improved tabular data generator with VAE-GMM integration
An improved tabular data generator with VAE-GMM integration
Patricia A. Apellániz
J. Parras
Santiago Zazo
43
6
0
12 Apr 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
Enhancing Network Intrusion Detection Performance using Generative
  Adversarial Networks
Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks
Xinxing Zhao
K. Fok
V. Thing
AAML
22
10
0
11 Apr 2024
Contextual Chart Generation for Cyber Deception
Contextual Chart Generation for Cyber Deception
David D. Nguyen
David Liebowitz
Surya Nepal
S. Kanhere
Sharif Abuadbba
46
0
0
07 Apr 2024
Privacy Re-identification Attacks on Tabular GANs
Privacy Re-identification Attacks on Tabular GANs
Abdallah Alshantti
Adil Rasheed
Frank Westad
AAML
19
3
0
31 Mar 2024
DSF-GAN: DownStream Feedback Generative Adversarial Network
DSF-GAN: DownStream Feedback Generative Adversarial Network
Oriel Perets
Nadav Rappoport
19
0
0
27 Mar 2024
FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN
FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN
Paul Joe Maliakel
Shashikant Ilager
Ivona Brandić
25
7
0
25 Mar 2024
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled
  Autoencoder for Mixed Tabular Datasets
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets
Samuel Stocksieker
Denys Pommeret
Arthur Charpentier
SSL
32
1
0
23 Mar 2024
Structured Evaluation of Synthetic Tabular Data
Structured Evaluation of Synthetic Tabular Data
Scott Cheng-Hsin Yang
Baxter S. Eaves
Michael Schmidt
Ken Swanson
Patrick Shafto
31
4
0
15 Mar 2024
Cooling-Guide Diffusion Model for Battery Cell Arrangement
Cooling-Guide Diffusion Model for Battery Cell Arrangement
Nicholas Sung
Liu Zheng
Pingfeng Wang
Faez Ahmed
DiffM
29
1
0
14 Mar 2024
A Comparison of SynDiffix Multi-table versus Single-table Synthetic Data
A Comparison of SynDiffix Multi-table versus Single-table Synthetic Data
Paul Francis
29
0
0
13 Mar 2024
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