Synthesizing Tabular Data using Generative Adversarial Networks

27 November 2018

Papers citing "Synthesizing Tabular Data using Generative Adversarial Networks"

35 / 35 papers shown

Title
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking Dayananda Herurkar Ahmad Ali Andreas Dengel 43 0 0 29 Apr 2025
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 49 2 0 23 Apr 2025
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
On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation Banooqa H. Banday Kowshik Thopalli Tanzima Z. Islam Jayaraman J. Thiagarajan 39 0 0 06 Sep 2024
Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilities Maria F. Davila Sven Groen Fabian Panse Wolfram Wingerath LMTD 36 1 0 31 May 2024
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning Wei Chen Rachel Sun Doksoo Lee Carlos M. Portela Wei Chen AI4CE 31 3 0 08 Dec 2023
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis Abdallah Alshantti Damiano Varagnolo Adil Rasheed Aria Rahmati Frank Westad 24 6 0 01 Jul 2023
Designing Explainable Predictive Machine Learning Artifacts: Methodology and Practical Demonstration Giacomo Welsch Peter Kowalczyk 33 1 0 20 Jun 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu 22 26 0 19 May 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis Alexander Norcliffe B. Cebere F. Imrie Pietro Lio M. Schaar SyDa 44 14 0 24 Feb 2023
Embeddings for Tabular Data: A Survey Rajat Singh Srikanta J. Bedathur LMTD 37 2 0 23 Feb 2023
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery Martina Cinquini F. Giannotti Riccardo Guidotti 32 10 0 18 Jan 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
Synthesis of Adversarial DDOS Attacks Using Tabular Generative Adversarial Networks Abdelmageed Ahmed Hassan Mohamed Hussein Ahmed Shehata AboMoustafa Sarah Hossam Elmowafy GAN AAML 24 1 0 14 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
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey Xiaodan Xing Huanjun Wu Lichao Wang Iain Stenson M. Yong Javier Del Ser Simon Walsh Guang Yang 32 7 0 17 Sep 2022
Customs Import Declaration Datasets Chae-Seong Jeong Sundong Kim Jaewoo Park Yeonsoo Choi 31 3 0 04 Aug 2022
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data Vikram S Chundawat Ayush K Tarun Murari Mandal M. Lahoti Pratik Narang 21 28 0 12 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 46 109 0 06 May 2022
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings M. Alzantot L. Garcia Mani B. Srivastava 27 1 0 25 Apr 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Geon Heo Steven Euijong Whang AAML 23 2 0 07 Feb 2022
Synthesising Electronic Health Records: Cystic Fibrosis Patient Group E. Muller Xu Zheng Jer Hayes 42 2 0 14 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
Property Inference Attacks Against GANs Junhao Zhou Yufei Chen Chao Shen Yang Zhang AAML MIACV 30 52 0 15 Nov 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 47 648 0 05 Oct 2021
Explainable Machine Learning using Real, Synthetic and Augmented Fire Tests to Predict Fire Resistance and Spalling of RC Columns M. Z. Naser Venkatesh Kodur 17 59 0 22 Aug 2021
Synthesising Multi-Modal Minority Samples for Tabular Data Sajad Darabi Yotam Elor 21 10 0 17 May 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 132 198 0 16 Feb 2021
Copula-based synthetic data augmentation for machine-learning emulators David Meyer T. Nagler R. Hogan 19 22 0 16 Dec 2020
TUTOR: Training Neural Networks Using Decision Rules as Model Priors Shayan Hassantabar Prerit Terway N. Jha 36 10 0 12 Oct 2020
Tabular GANs for uneven distribution Insaf Ashrapov GAN 17 32 0 01 Oct 2020
PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards Masoud Hashemi Ali Fathi AAML 10 32 0 24 Aug 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 20 1,423 0 02 Aug 2019
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 119 470 0 09 Jun 2018
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks Edward Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 156 570 0 19 Mar 2017