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

27 May 2024

Tommy Löfstedt

Papers citing "A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis"

18 / 18 papers shown

Title
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 441 12,840 0 27 Feb 2023
Machine Learning for Synthetic Data Generation: A Review Ying-Cheng Lu Minjie Shen Huazheng Wang Xiao Wang Capucine Van Rechem Tianfan Fu Wenqi Wei SyDa 63 142 0 08 Feb 2023
TabDDPM: Modelling Tabular Data with Diffusion Models Akim Kotelnikov Dmitry Baranchuk Ivan Rubachev Artem Babenko DiffM 87 247 0 30 Sep 2022
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 129 1,582 0 23 Jun 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 148 198 0 16 Feb 2021
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 111 10,591 0 17 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 43 489 0 12 Feb 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 242 5,769 0 03 Dec 2019
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 68 1,232 0 01 Jul 2019
Learning Vine Copula Models For Synthetic Data Generation Yi Sun Alfredo Cuesta-Infante K. Veeramachaneni 31 39 0 04 Dec 2018
Generating Synthetic but Plausible Healthcare Record Datasets L. Aviñó M. Ruffini Ricard Gavaldà MedIm SyDa OOD 30 39 0 04 Jul 2018
Generating Multi-Categorical Samples with Generative Adversarial Networks R. Camino Christian A. Hammerschmidt R. State SyDa GAN 6 71 0 03 Jul 2018
MedGAN: Medical Image Translation using GANs Karim Armanious Chenming Yang Marc Fischer Thomas Kustner K. Nikolaou S. Gatidis Bin Yang GAN MedIm 35 545 0 17 Jun 2018
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories A. Yahi Rami Vanguri Noémie Elhadad Nicholas P. Tatonetti GAN 38 40 0 01 Dec 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 73 9,509 0 31 Mar 2017
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 185 575 0 19 Mar 2017
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu Weinan Zhang Jun Wang Yong Yu GAN 35 2,397 0 18 Sep 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 154 6,780 0 12 Mar 2015