How Realistic Is Your Synthetic Data? Constraining Deep Generative
Models for Tabular Data

How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data

7 February 2024

Mihaela C. Stoian

Salijona Dyrmishi

Thomas Lukasiewicz

Eleonora Giunchiglia

Papers citing "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"

11 / 11 papers shown

Title
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 30 1 0 23 Apr 2025
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 50 0 0 25 Mar 2025
TL-PCA: Transfer Learning of Principal Component Analysis Sharon Hendy Yehuda Dar 70 1 0 14 Oct 2024
Deep generative models as an adversarial attack strategy for tabular machine learning Salijona Dyrmishi Mihaela C. Stoian Eleonora Giunchiglia Maxime Cordy AAML LMTD 16 0 0 19 Sep 2024
STaSy: Score-based Tabular data Synthesis Jayoung Kim C. Lee Noseong Park DiffM 54 57 0 08 Oct 2022
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 118 196 0 16 Feb 2021
Logic Tensor Networks Samy Badreddine Artur Garcez Luciano Serafini Michael Spranger NAI 70 196 0 25 Dec 2020
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 57 287 0 10 Dec 2020
Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study Abdelhakim Hannousse Salima Yahiouche 32 64 0 24 Oct 2020
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 111 462 0 09 Jun 2018
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks E. Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 145 562 0 19 Mar 2017