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
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data Kai Zhang Qinmin Yang Chong Li AI4TS 33 0 0 16 Sep 2022
Modeling Network-level Traffic Flow Transitions on Sparse Data Xiaoliang Lei Hao Mei Bin Shi Hua Wei 71 21 0 13 Aug 2022
GEDI: A Graph-based End-to-end Data Imputation Framework Kaizhong Chen Xiuqin Liang Zheng Ma Zhibin Zhang 53 5 0 13 Aug 2022
DiffML: End-to-end Differentiable ML Pipelines Benjamin Hilprecht Christian Hammacher Eduardo Reis Mohamed Abdelaal Carsten Binnig MedIm 54 11 0 04 Jul 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 146 65 0 30 Jun 2022
Autoencoder-based Attribute Noise Handling Method for Medical Data Thomas Ranvier H. Elghazel E. Coquery K. Benabdeslem 65 0 0 20 Jun 2022
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation J. Dessureault Daniel Massicotte 130 5 0 17 Jun 2022
Classification of datasets with imputed missing values: does imputation quality matter? Tolou Shadbahr M. Roberts Jan Stanczuk J. Gilbey P. Teare ... T. Mirtti A. Rannikko J. Aston Jing Tang Carola-Bibiane Schönlieb 81 62 0 16 Jun 2022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection Daniel Jarrett B. Cebere Tennison Liu Alicia Curth M. Schaar 63 81 0 15 Jun 2022
A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative E. Casiraghi R. Wong Margaret A Hall Ben Coleman M. Notaro ... Stephanie S. Hong E. Pfaff J. Reusch Corneliu Antoniescu Kimberly Robaski 64 15 0 13 Jun 2022
PROMISSING: Pruning Missing Values in Neural Networks S. M. Kia N. M. Rad Dan Opstal B. V. Schie A. Marquand J. Pluim W. Cahn H. Schnack VLM 66 4 0 03 Jun 2022
Principal Component Analysis based frameworks for efficient missing data imputation algorithms Thu Nguyen Hoang Thien Ly Michael Alexander Riegler Paal Halvorsen Hugo Lewi Hammer 69 4 0 30 May 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models Erdun Gao Ignavier Ng Biwei Huang Li Shen Wei Huang Tongliang Liu Kun Zhang H. Bondell CML 148 23 0 27 May 2022
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations Ivan Marisca Andrea Cini Cesare Alippi AI4TS 100 68 0 26 May 2022
Explainable Data Imputation using Constraints Sandeep Hans Diptikalyan Saha Aniya Aggarwal 65 5 0 10 May 2022
Gaussian Processes for Missing Value Imputation B. Jafrasteh Daniel Hernández-Lobato Simón Pedro Lubián López Isabel Benavente-Fernández GP 96 17 0 10 Apr 2022
Controllable Missingness from Uncontrollable Missingness: Joint Learning Measurement Policy and Imputation Seongwook Yoon Jaehyung Kim Heejeong Lim S. Sull 38 0 0 08 Apr 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 103 42 0 14 Mar 2022
FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation and Prediction Fang Fang Shenliao Bao AI4CE GAN 59 8 0 09 Mar 2022
Missing Data Infill with Automunge Nicholas J. Teague 70 3 0 19 Feb 2022
SAITS: Self-Attention-based Imputation for Time Series Wenjie Du David Cote Yang Liu AI4TS 116 271 0 17 Feb 2022
To Impute or not to Impute? Missing Data in Treatment Effect Estimation Jeroen Berrevoets F. Imrie T. Kyono James Jordon M. Schaar 90 18 0 04 Feb 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods Yao Rong Tobias Leemann V. Borisov Gjergji Kasneci Enkelejda Kasneci FAtt 124 99 0 01 Feb 2022
Generative Trees: Adversarial and Copycat Richard Nock Mathieu Guillame-Bert 90 5 0 26 Jan 2022
Maximizing information from chemical engineering data sets: Applications to machine learning Alexander Thebelt Johannes Wiebe Jan Kronqvist Calvin Tsay Ruth Misener AI4CE 124 74 0 25 Jan 2022
Differentiable and Scalable Generative Adversarial Models for Data Imputation Yangyang Wu Jun Wang Xiaoye Miao Wei Cao Jianwei Yin SyDa 100 14 0 10 Jan 2022
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications Jin Li B. Cairns Jingsong Li T. Zhu SyDa 91 77 0 22 Dec 2021
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems Zongyu Dai Zhiqi Bu Qi Long GAN 69 22 0 21 Dec 2021
Assessing Fairness in the Presence of Missing Data Yiliang Zhang Q. Long FaML 65 36 0 07 Dec 2021
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas TDI FAtt 111 17 0 26 Nov 2021
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data Vaidotas Šimkus Benjamin Rhodes Michael U. Gutmann 78 9 0 25 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 93 98 0 23 Nov 2021
A Graph-based Imputation Method for Sparse Medical Records Ramón Viñas Xu Zheng Jer Hayes 33 2 0 17 Nov 2021
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono Yao Zhang Alexis Bellot M. Schaar CML 120 68 0 04 Nov 2021
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations Ehsan Adeli Jize Zhang A. Taflanidis AI4TS AI4CE GAN 72 3 0 03 Nov 2021
Deconvolutional Networks on Graph Data Jia Li Jiajin Li Yang Liu Jianwei Yu Yueting Li Hongtao Cheng GNN 88 22 0 29 Oct 2021
Identifiable Generative Models for Missing Not at Random Data Imputation Chao Ma Cheng Zhang 74 36 0 27 Oct 2021
MisConv: Convolutional Neural Networks for Missing Data Marcin Przewiȩźlikowski Marek Śmieja Lukasz Struski Jacek Tabor 98 8 0 26 Oct 2021
Fairness in Missing Data Imputation Yiliang Zhang Q. Long 87 13 0 22 Oct 2021
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops Florian Mouret Mohanad Albughdadi S. Duthoit Denis Kouamé Guillaume Rieu J. Tourneret 61 18 0 22 Oct 2021
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records Wenrui Li Xiaoyu Wang Y. Sun S. Milanović Mark A. Kon J. Castrillón-Candás 75 5 0 19 Oct 2021
Expectation Distance-based Distributional Clustering for Noise-Robustness Rahmat Adesunkanmi Ratnesh Kumar 41 0 0 17 Oct 2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance Grace Deng Cuize Han T. Dreossi Clarence Lee David S. Matteson AI4TS 80 10 0 14 Oct 2021
CoRGi: Content-Rich Graph Neural Networks with Attention Jooyeon Kim A. Lamb Simon Woodhead Simon L. Peyton Jones Cheng Zheng Miltiadis Allamanis 73 6 0 10 Oct 2021
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network Yichen Zhu Bo Jiang Haiming Jin Mengtian Zhang Feng Gao Jianqiang Huang Tao Lin Xinbing Wang GNN AI4TS 106 5 0 05 Oct 2021
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference François Rozet Gilles Louppe 124 6 0 01 Oct 2021
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging Yuankai Wu Dingyi Zhuang Mengying Lei A. Labbe Lijun Sun AI4TS 105 25 0 24 Sep 2021
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns Yuebing Liang Zhan Zhao Lijun Sun GNN AI4TS 108 64 0 17 Sep 2021
Unsupervised domain adaptation with non-stochastic missing data Matthieu Kirchmeyer Patrick Gallinari A. Rakotomamonjy Amin Mantrach 61 2 0 16 Sep 2021
Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values Mahed Abroshan K. H. Yip Cem Tekin Mihaela van der Schaar CML OffRL 62 3 0 08 Sep 2021