CTAB-GAN: Effective Table Data Synthesizing

16 February 2021

Papers citing "CTAB-GAN: Effective Table Data Synthesizing"

50 / 109 papers shown

Title
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
Systematic Assessment of Tabular Data Synthesis Algorithms Yuntao Du Ninghui Li 35 4 0 09 Feb 2024
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data Mihaela C. Stoian Salijona Dyrmishi Maxime Cordy Thomas Lukasiewicz Eleonora Giunchiglia 29 15 0 07 Feb 2024
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models Ziqiang Yuan Kaiyuan Wang Shoutai Zhu Ye Yuan Jingya Zhou Yanlin Zhu Wenqi Wei 42 5 0 19 Jan 2024
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics Qinyi Liu Mohammad Khalil Ronas Shakya Jelena Jovanovic 27 18 0 12 Jan 2024
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation Timur Sattarov Marco Schreyer Damian Borth FedML DiffM MedIm 17 7 0 11 Jan 2024
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective Din-Yin Hsieh ChiHua Wang Guang Cheng AI4TS 26 5 0 01 Jan 2024
A self-attention-based differentially private tabular GAN with high data utility Zijian Li Zhihui Wang 18 1 0 20 Dec 2023
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 53 5 0 16 Dec 2023
TabMT: Generating tabular data with masked transformers Manbir Gulati Paul F. Roysdon LMTD 50 33 0 11 Dec 2023
DiSK: A Diffusion Model for Structured Knowledge O. Kitouni Niklas Nolte James Hensman Bhaskar Mitra DiffM 25 3 0 08 Dec 2023
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance SeungHwan An Sungchul Hong Jong-June Jeon 21 0 0 06 Dec 2023
Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions Alexander Boudewijn Andrea Filippo Ferraris D. Panfilo Vanessa Cocca Sabrina Zinutti Karel De Schepper Carlo Rossi Chauvenet 39 2 0 29 Nov 2023
Joint Distributional Learning via Cramer-Wold Distance SeungHwan An Jong-June Jeon 32 0 0 25 Oct 2023
AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing Namjoon Suh Xiaofeng Lin Din-Yin Hsieh Merhdad Honarkhah Guang Cheng 19 16 0 24 Oct 2023
TabuLa: Harnessing Language Models for Tabular Data Synthesis Zilong Zhao Robert Birke Lydia Y. Chen LMTD 43 29 0 19 Oct 2023
Black-Box Training Data Identification in GANs via Detector Networks Lukman Olagoke Salil P. Vadhan Seth Neel 31 0 0 18 Oct 2023
Data-level hybrid strategy selection for disk fault prediction model based on multivariate GAN Shuangshuang Yuan Peng Wu Yuehui Chen 31 0 0 10 Oct 2023
ResBit: Residual Bit Vector for Categorical Values Masane Fuchi Amar Zanashir Si-Qing Chen Tomohiro Takagi 21 1 0 29 Sep 2023
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees Alexia Jolicoeur-Martineau Kilian Fatras Tal Kachman 33 30 0 18 Sep 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 39 1 0 28 Jul 2023
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation Rodrigo Castellon Achintya Gopal Brian Bloniarz David S. Rosenberg 21 7 0 19 Jul 2023
MargCTGAN: A "Marginally'' Better CTGAN for the Low Sample Regime Tejumade Afonja Dingfan Chen Mario Fritz 14 7 0 16 Jul 2023
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis Abdallah Alshantti Damiano Varagnolo Adil Rasheed Aria Rahmati Frank Westad 19 6 0 01 Jul 2023
Poisoning Network Flow Classifiers Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 38 4 0 02 Jun 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis C. Lee Jayoung Kim Noseong Park DiffM 22 54 0 25 Apr 2023
30 Years of Synthetic Data Joerg Drechsler Anna Haensch 30 15 0 04 Apr 2023
On Rényi Differential Privacy in Statistics-Based Synthetic Data Generation Takayuki Miura Toshiki Shibahara M. Kii Atsunori Ichikawa Juko Yamamoto Koji Chida SyDa 27 0 0 31 Mar 2023
Synthesizing Mixed-type Electronic Health Records using Diffusion Models T. Ceritli Ghadeer O. Ghosheh V. Chauhan T. Zhu Andrew P. Creagh David A. Clifton MedIm DiffM 46 19 0 28 Feb 2023
Causally Disentangled Generative Variational AutoEncoder SeungHwan An Kyungwoo Song Jong-June Jeon OOD CoGe DRL CML 19 4 0 23 Feb 2023
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation SeungHwan An Jong-June Jeon DRL 35 8 0 22 Feb 2023
REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers Aivin V. Solatorio Olivier Dupriez LMTD 26 61 0 04 Feb 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 38 0 0 03 Jan 2023
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions M. Fallahian Mohsen Dorodchi Kyle Kreth 17 7 0 18 Dec 2022
On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation Yucong Liu ChiHua Wang Guang Cheng 29 7 0 28 Nov 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus José P. Pombal Duarte M. Alves André F. Cruz Pedro Saleiro Rita P. Ribeiro João Gama P. Bizarro 40 32 0 24 Nov 2022
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data Shaoming Duan Chuanyi Liu Peiyi Han Tianyu He Yifeng Xu Qiyuan Deng FedML 33 3 0 22 Nov 2022
Permutation-Invariant Tabular Data Synthesis Yujin Zhu Zilong Zhao Robert Birke L. Chen 31 2 0 17 Nov 2022
A deep learning framework to generate realistic population and mobility data Eren Arkangil Mehmet Yildirimoglu Jiwon Kim Carlo G. Prato AI4TS 6 3 0 14 Nov 2022
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy Han Wu Zilong Zhao L. Chen Aad van Moorsel FedML 23 7 0 13 Oct 2022
FCT-GAN: Enhancing Table Synthesis via Fourier Transform Zilong Zhao Robert Birke L. Chen 27 7 0 12 Oct 2022
ciDATGAN: Conditional Inputs for Tabular GANs Gael Lederrey T. Hillel M. Bierlaire GAN 13 2 0 05 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models Akim Kotelnikov Dmitry Baranchuk Ivan Rubachev Artem Babenko DiffM 63 239 0 30 Sep 2022
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data Vikram S Chundawat Ayush K Tarun Murari Mandal M. Lahoti Pratik Narang 15 28 0 12 Jul 2022
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata C. Little Mark Elliot Richard Allmendinger 19 8 0 02 Jul 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 43 109 0 06 May 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis Zilong Zhao A. Kunar Robert Birke L. Chen 27 78 0 01 Apr 2022
Generative Modeling of Complex Data Luca Canale Nicolas Grislain Grégoire Lothe Johanne Leduc SyDa 18 4 0 04 Feb 2022
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN Zilong Zhao Jiyue Huang Stefanie Roos L. Chen AAML 24 5 0 24 Jan 2022
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study C. Little Mark Elliot Richard Allmendinger Sahel Shariati Samani 24 20 0 03 Dec 2021