GAIN: Missing Data Imputation using Generative Adversarial Nets

7 June 2018

Papers citing "GAIN: Missing Data Imputation using Generative Adversarial Nets"

50 / 308 papers shown

Title
Deep Generative Imputation Model for Missing Not At Random Data Jia-Lve Chen Yuanbo Xu Pengyang Wang Yongjian Yang SyDa 59 10 0 16 Aug 2023
Monotone deep Boltzmann machines Zhili Feng Ezra Winston J. Zico Kolter 76 1 0 11 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 142 178 0 07 Jul 2023
MissDiff: Training Diffusion Models on Tabular Data with Missing Values Yidong Ouyang Liyan Xie Chongxuan Li Guang Cheng DiffM 102 26 0 02 Jul 2023
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach F. Lalande Kenji Doya 146 4 0 29 Jun 2023
A Comprehensive Survey on Generative Diffusion Models for Structured Data Heejoon Koo To Eun Kim DiffM MedIm 74 7 0 07 Jun 2023
SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving Honghao Fu Yongli Gu Yidong Yan Yilang Shen Yiwen Wu Libo Sun 93 0 0 06 Jun 2023
Robust covariance estimation with missing values and cell-wise contamination Karim Lounici Grégoire Pacreau 143 2 0 01 Jun 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 121 32 0 29 May 2023
Minimizing $f$ -Divergences by Interpolating Velocity Fields Song Liu Jiahao Yu J. Simons Mingxuan Yi Mark Beaumont 134 5 0 24 May 2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift Yichen Zhu Jian Yuan Ziwei He Tao R. Lin Haiming Jin Xinbing Wang Cheng Zhou OOD 53 1 0 18 May 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas FAtt 92 12 0 16 May 2023
Generative Table Pre-training Empowers Models for Tabular Prediction Tianze Zhang Shaowen Wang Shuicheng Yan Jian Li Qian Liu LMTD 92 47 0 16 May 2023
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 76 2 0 15 May 2023
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods Nhat H. Pham Khanh-Linh Vo Mai Anh Vu Thu Nguyen Michael A. Riegler Pål Halvorsen Binh Duc Nguyen 93 6 0 10 May 2023
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction Tu T. Do Mai Anh Vu Tuan L. Vo Hoang Thien Ly Thu Nguyen Steven A. Hicks Michael A. Riegler Pål Halvorsen Binh Duc Nguyen 64 4 0 10 May 2023
CUTS+: High-dimensional Causal Discovery from Irregular Time-series Yuxiao Cheng Lianglong Li Tingxiong Xiao Zongren Li Qionghai Dai J. Suo K. He CML BDL AI4TS 112 27 0 10 May 2023
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning Xiaochuan Zhang Mengran Li Ye Wang Haojun Fei 61 2 0 05 May 2023
MISNN: Multiple Imputation via Semi-parametric Neural Networks Zhiqi Bu Zongyu Dai Yiliang Zhang Q. Long 68 0 0 02 May 2023
Algorithmic Recourse with Missing Values Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 73 2 0 28 Apr 2023
Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? Zhi Chen S. Tan Urszula Chajewska Cynthia Rudin Rich Caruana 126 12 0 23 Apr 2023
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models Irene Balelli Aude Sportisse Francesco Cremonesi Pierre-Alexandre Mattei Marco Lorenzi 73 3 0 17 Apr 2023
Time-dependent Iterative Imputation for Multivariate Longitudinal Clinical Data Omer Noy R. Shamir 34 2 0 16 Apr 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 72 4 0 13 Apr 2023
Learning from data with structured missingness R. Mitra Sarah F. McGough Tapabrata (Rohan) Chakraborty Chris Holmes Ryan Copping ... M. Mackintosh E. Andrinopoulou A. Basiri Chris Harbron Ben D. MacArthur CML 76 52 0 04 Apr 2023
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction Yi Xu Armin Bazarjani Hyung-Gun Chi Chiho Choi Y. Fu 88 34 0 28 Mar 2023
Generative Adversarial Classification Network with Application to Network Traffic Classification Rozhina Ghanavi Ben Liang A. Tizghadam AI4TS 84 3 0 19 Mar 2023
Transformed Distribution Matching for Missing Value Imputation He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 107 21 0 20 Feb 2023
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation Mingzhe Liu Han Huang Hao Feng Leilei Sun Bowen Du Yanjie Fu DiffM 91 56 0 20 Feb 2023
Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features Chengxiang Lei Sichao Fu Yuetian Wang Wen-Qiang Qiu Yachen Hu Qinmu Peng Xinge You 65 3 0 16 Feb 2023
ClueGAIN: Application of Transfer Learning On Generative Adversarial Imputation Nets (GAIN) Simiao Zhao GAN 58 0 0 06 Feb 2023
Conditional expectation with regularization for missing data imputation Mai Anh Vu Thu Nguyen Tu T. Do Nhan Phan Nitesh V. Chawla Pål Halvorsen Michael A. Riegler Binh Duc Nguyen 157 2 0 02 Feb 2023
Naive imputation implicitly regularizes high-dimensional linear models Alexis Ayme Claire Boyer Hadrien Hendrikx Erwan Scornet AI4CE 71 8 0 31 Jan 2023
$Ae^2I$ : A Double Autoencoder for Imputation of Missing Values Fuchang Gao 85 1 0 16 Jan 2023
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction K. K. Qin Yongli Ren Wei Shao Brennan Lake Filippo Privitera Flora D. Salim 62 7 0 11 Jan 2023
Data Imputation with Iterative Graph Reconstruction J. Zhong Weiwei Ye Ning Gui 79 13 0 06 Dec 2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Zi-Chao Gao Yifan Niu Jiashun Cheng Jianheng Tang Tingyang Xu P. Zhao Lanqing Li Fugee Tsung Jia Li 139 13 0 30 Nov 2022
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data Zongyu Dai Zhiqi Bu Q. Long 81 4 0 23 Nov 2022
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks Andreas Roth Thomas Liebig AI4TS AI4CE 68 10 0 21 Nov 2022
The Missing Indicator Method: From Low to High Dimensions Mike Van Ness Tomas M. Bosschieter Roberto Halpin-Gregorio Madeleine Udell AI4TS 81 17 0 16 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 111 13 0 09 Nov 2022
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets Gift Khangamwa Terence L van Zyl Clint J. van Alten 56 0 0 05 Nov 2022
Diffusion models for missing value imputation in tabular data Shuhan Zheng Nontawat Charoenphakdee VLM DiffM 102 74 0 31 Oct 2022
Imputation of missing values in multi-view data Wouter van Loon M. Fokkema Frank de Vos Marisa Koini Reinhold Schmidt M. Rooij 126 2 0 26 Oct 2022
EGG-GAE: scalable graph neural networks for tabular data imputation Lev Telyatnikov Simone Scardapane GNN 69 14 0 19 Oct 2022
Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset Konstantinos Psychogyios Loukas Ilias D. Askounis 69 9 0 06 Oct 2022
Revealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN) Yingyao Hu Yang Liu Jiaxiong Yao DRL 44 1 0 04 Oct 2022
Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics Jinsheng Yang Yuanhai Shao Chunna Li Wen-Si Wang AI4TS 71 0 0 22 Sep 2022
STING: Self-attention based Time-series Imputation Networks using GAN Eunkyu Oh Taehun Kim Yunhu Ji Sushil Khyalia AI4TS 104 25 0 22 Sep 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 63 10 0 17 Sep 2022