Modeling Tabular data using Conditional GAN

1 July 2019

Lei Xu

Maria Skoularidou

Alfredo Cuesta-Infante

Papers citing "Modeling Tabular data using Conditional GAN"

29 / 429 papers shown

Title
Synthetic Data -- Anonymisation Groundhog Day Theresa Stadler Bristena Oprisanu Carmela Troncoso 11 156 0 13 Nov 2020
Population synthesis for urban resident modeling using deep generative models M. Johnsen Oliver Brandt Sergio Garrido Francisco Câmara Pereira 21 11 0 13 Nov 2020
Differentially Private Synthetic Data: Applied Evaluations and Enhancements Lucas Rosenblatt Xiao-Yang Liu Samira Pouyanfar Eduardo de Leon Anuj M. Desai Joshua Allen SyDa 19 64 0 11 Nov 2020
Tabular Transformers for Modeling Multivariate Time Series Inkit Padhi Yair Schiff Igor Melnyk Mattia Rigotti Youssef Mroueh Pierre L. Dognin Jerret Ross Ravi Nair Erik Altman LMTD AI4TS 19 86 0 03 Nov 2020
Active Learning for Human-in-the-Loop Customs Inspection Sundong Kim Tung Mai Sungwon Han Sungwon Park Thien Khanh Jaechan So Karandeep Singh M. Cha 11 8 0 27 Oct 2020
Deep Generative Modeling in Network Science with Applications to Public Policy Research Gavin Hartnett R. Vardavas Lawrence Baker Michael Chaykowski C. Gibson F. Girosi David Kennedy Osonde A. Osoba 14 2 0 15 Oct 2020
TUTOR: Training Neural Networks Using Decision Rules as Model Priors Shayan Hassantabar Prerit Terway N. Jha 28 10 0 12 Oct 2020
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples Yael Mathov Eden Levy Ziv Katzir A. Shabtai Yuval Elovici AAML 21 14 0 07 Oct 2020
Tabular GANs for uneven distribution Insaf Ashrapov GAN 17 32 0 01 Oct 2020
STAN: Synthetic Network Traffic Generation with Generative Neural Models Shengzhe Xu Manish Marwah M. Arlitt Naren Ramakrishnan DiffM AI4TS 15 27 0 27 Sep 2020
Accurate and Intuitive Contextual Explanations using Linear Model Trees Aditya Lahiri N. Edakunni FAtt 6 2 0 11 Sep 2020
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning Eoin M. Kenny Mark T. Keane 12 98 0 10 Sep 2020
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration Ju Fan Tongyu Liu Guoliang Li Junyou Chen Yuwei Shen Xiaoyong Du 12 61 0 28 Aug 2020
PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards Masoud Hashemi Ali Fathi AAML 6 32 0 24 Aug 2020
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning Justin Engelmann Stefan Lessmann 6 226 0 20 Aug 2020
Generative Adversarial Networks for Spatio-temporal Data: A Survey Nan Gao Hao Xue Wei Shao Sichen Zhao K. K. Qin Arian Prabowo Mohammad Saiedur Rahaman Flora D. Salim GAN AI4TS AI4CE 8 105 0 18 Aug 2020
The reinforcement learning-based multi-agent cooperative approach for the adaptive speed regulation on a metallurgical pickling line A. Bogomolova Kseniia Kingsep Boris Voskresenskii OffRL AI4CE 6 0 0 16 Aug 2020
Synthesizing Property & Casualty Ratemaking Datasets using Generative Adversarial Networks Marie-Pier Côté Brian Hartman Olivier Mercier Joshua Meyers Jared Cummings Elijah Harmon GAN SyDa 31 8 0 13 Aug 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models Adarsh K. Jeewajee L. Kaelbling BDL 10 1 0 09 Jul 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 19 54 0 25 Jun 2020
Improving LIME Robustness with Smarter Locality Sampling Sean Saito Eugene Chua Nicholas Capel Rocco Hu FAtt AAML 7 22 0 22 Jun 2020
Generation of Differentially Private Heterogeneous Electronic Health Records Kieran Chin-Cheong Thomas M. Sutter Julia E. Vogt SyDa 6 6 0 05 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 36 17 0 27 May 2020
Minority Class Oversampling for Tabular Data with Deep Generative Models R. Camino Christian A. Hammerschmidt R. State 9 2 0 07 May 2020
AE-OT-GAN: Training GANs from data specific latent distribution Dongsheng An Yang Guo Min Zhang Xin Qi Na Lei S. Yau X. Gu DRL GAN 24 24 0 11 Jan 2020
Generative Synthesis of Insurance Datasets Kevin Kuo 11 15 0 05 Dec 2019
TabNet: Attentive Interpretable Tabular Learning Sercan Ö. Arik Tomas Pfister LMTD 40 1,280 0 20 Aug 2019
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 116 467 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 153 569 0 19 Mar 2017