Modeling Tabular data using Conditional GAN

1 July 2019

Lei Xu

Maria Skoularidou

Alfredo Cuesta-Infante

Papers citing "Modeling Tabular data using Conditional GAN"

50 / 429 papers shown

Title
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis C. Lee Jayoung Kim Noseong Park DiffM 20 54 0 25 Apr 2023
Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic Population Bhavesh Neekhra K. Kapoor Debayan Gupta 20 1 0 24 Apr 2023
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning Bryan C. Brandt P. Dasgupta 26 1 0 14 Apr 2023
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review Siqi Li Pinyan Liu G. G. Nascimento Xinru Wang F. Leite ... Daniel Ting Hamed Haddadi M. Ong M. A. Peres Nan Liu 17 11 0 14 Apr 2023
Distributed Conditional GAN (discGAN) For Synthetic Healthcare Data Generation David T. Fuentes Diana McSpadden Sodiq Adewole CML MedIm 19 1 0 09 Apr 2023
RISC: Generating Realistic Synthetic Bilingual Insurance Contract David Beauchemin Richard Khoury AILaw SyDa 30 1 0 09 Apr 2023
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid Polaki Durga Prasad Yelleti Vivek V. Ravi FedML 23 0 0 09 Apr 2023
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation A. Khan Omkar Chaudhari Rohitash Chandra 31 166 0 06 Apr 2023
30 Years of Synthetic Data Joerg Drechsler Anna Haensch 27 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 17 0 0 31 Mar 2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision Sungwon Han Seungeon Lee Fangzhao Wu Sundong Kim Chuhan Wu Xiting Wang Xing Xie M. Cha FaML 13 6 0 15 Mar 2023
Synthetic Experience Replay Cong Lu Philip J. Ball Yee Whye Teh Jack Parker-Holder OffRL 94 67 0 12 Mar 2023
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment Hao Tang Aref Miri Rekavandi D. Rooprai Girish Dwivedi Frank M. Sanfilippo F. Boussaïd M. Bennamoun 37 5 0 09 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 13 31 0 02 Mar 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis Alexander Norcliffe B. Cebere F. Imrie Pietro Lió M. Schaar SyDa 32 14 0 24 Feb 2023
Data Augmentation with GAN increases the Performance of Arrhythmia Classification for an Unbalanced Dataset Okan Düzyel M. Kuntalp 11 2 0 24 Feb 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection B. V. Breugel Hao Sun Zhaozhi Qian M. Schaar 30 45 0 24 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
Data Augmentation for Imbalanced Regression Samuel Stocksieker Denys Pommeret Arthur Charpentier 25 8 0 18 Feb 2023
Copula-based transferable models for synthetic population generation Pascal Jutras-Dubé Mohammad B. Al-Khasawneh Zhichao Yang Javier Bas Fabian Bastin C. Cirillo 13 3 0 17 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 16 28 0 06 Feb 2023
REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers Aivin V. Solatorio Olivier Dupriez LMTD 21 61 0 04 Feb 2023
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data Meenatchi Sundaram Muthu Selva Annamalai Andrea Gadotti Luc Rocher MIACV 16 21 0 24 Jan 2023
Exploiting Out-of-band Motion Sensor Data to De-anonymize Virtual Reality Users Mohd Sabra Nisha Vinayaga-Sureshkanth Ari Sharma Anindya Maiti Murtuza Jadliwala 13 1 0 22 Jan 2023
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery Martina Cinquini F. Giannotti Riccardo Guidotti 21 10 0 18 Jan 2023
Data-centric AI: Perspectives and Challenges Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Xia Hu 17 67 0 12 Jan 2023
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection Caroline Strickland Chandrika Saha Muhammad Zakar Sareh Nejad Noshin Tasnim D. Lizotte Anwar Haque 15 10 0 05 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
Assessment of creditworthiness models privacy-preserving training with synthetic data Ricardo Muñoz-Cancino Cristián Bravo Sebastián A. Ríos M. Graña SyDa 14 2 0 31 Dec 2022
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions M. Fallahian Mohsen Dorodchi Kyle Kreth 15 7 0 18 Dec 2022
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning Yukun Cao Xike Xie Kexin Huang 26 4 0 07 Dec 2022
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control Tânia Carvalho Nuno Moniz Luís Antunes Nitesh V. Chawla 21 3 0 01 Dec 2022
Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders Ciro Antonio Mami Andrea Coser Eric Medvet Alexander Boudewijn Marco Volpe Michael Whitworth Borut Svara G. Sgroi D. Panfilo S. Saccani CML 16 5 0 30 Nov 2022
Learning Antidote Data to Individual Unfairness Peizhao Li Ethan Xia Hongfu Liu FedML FaML 17 9 0 29 Nov 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
OOG- Optuna Optimized GAN Sampling Technique for Tabular Imbalanced Malware Data S.M. Towhidul Islam Tonmoy S. M. Mehedi 13 3 0 25 Nov 2022
Positive unlabeled learning with tensor networks Bojan Žunkovič SSL 38 4 0 25 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
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios Wenbin Gan Minh-Son Dao K. Zettsu 4 3 0 23 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 30 3 0 22 Nov 2022
A Framework for Auditable Synthetic Data Generation F. Houssiau Samuel N. Cohen Lukasz Szpruch Owen Daniel Michaela G. Lawrence R. Mitra Henry Wilde C. Mole 16 7 0 21 Nov 2022
A Unified Framework for Quantifying Privacy Risk in Synthetic Data M. Giomi Franziska Boenisch C. Wehmeyer Borbála Tasnádi 19 56 0 18 Nov 2022
Permutation-Invariant Tabular Data Synthesis Yujin Zhu Zilong Zhao Robert Birke L. Chen 28 2 0 17 Nov 2022
Row Conditional-TGAN for generating synthetic relational databases Mohamed Gueye Yazid Attabi Maxime Dumas GAN 11 6 0 14 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
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data F. Houssiau James Jordon Samuel N. Cohen Owen Daniel Andrew Elliott James Geddes C. Mole Camila Rangel Smith Lukasz Szpruch 20 45 0 12 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Which is the best model for my data? Gonzalo Nápoles Isel Grau Çiçek Güven Orçun Özdemir Yamisleydi Salgueiro 19 0 0 26 Oct 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data Nabeel Seedat Jonathan Crabbé Ioana Bica M. Schaar 17 24 0 24 Oct 2022