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
RIFLE: Imputation and Robust Inference from Low Order Marginals Sina Baharlouei Kelechi Ogudu S. Suen Meisam Razaviyayn 66 5 0 01 Sep 2021
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework Ammar Mansoor Kamoona A. Gostar A. Bab-Hadiashar R. Hoseinnezhad 48 17 0 27 Aug 2021
Categorical EHR Imputation with Generative Adversarial Nets Yinchong Yang Zhiliang Wu Volker Tresp Peter A. Fasching GAN 92 8 0 03 Aug 2021
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks Andrea Cini Ivan Marisca Cesare Alippi AI4TS AI4CE 98 115 0 31 Jul 2021
Missingness Augmentation: A General Approach for Improving Generative Imputation Models Yufeng Wang Dan Li Cong Xu Min Yang 70 4 0 31 Jul 2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective Riqiang Gao Yucheng Tang Kaiwen Xu Ho Hin Lee S. Deppen K. Sandler P. Massion Thomas A. Lasko Yuankai Huo Bennett A. Landman 84 10 0 25 Jul 2021
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 121 72 0 22 Jul 2021
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues M. Abdelhack Jiaming Zhang Sandhya Tripathi Bradley A. Fritz Daniel Felsky M. Avidan Yixin Chen C. King 61 2 0 19 Jul 2021
Viscos Flows: Variational Schur Conditional Sampling With Normalizing Flows Vincent Moens Aivar Sootla H. Ammar Jun Wang TPM 84 1 0 06 Jul 2021
Gradient Importance Learning for Incomplete Observations Qitong Gao Dong Wang Joshua D. Amason Siyang Yuan Chenyang Tao Ricardo Henao M. Hadziahmetovic Lawrence Carin Miroslav Pajic 63 10 0 05 Jul 2021
DAEMA: Denoising Autoencoder with Mask Attention Simon Tihon Muhammad Usama Javaid Damien Fourure N. Posocco Thomas Peel 45 15 0 30 Jun 2021
Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks Xinlu Zhang Yun Zhao R. Callcut Linda R. Petzold AI4CE 63 0 0 22 Jun 2021
EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models Qi Ma S. Ghosh 85 5 0 09 Jun 2021
Semi-supervised Learning with Missing Values Imputation Buliao Huang Yunhui Zhu Muhammad Usman Huanhuan Chen 78 12 0 03 Jun 2021
What's a good imputation to predict with missing values? Marine Le Morvan Julie Josse Erwan Scornet Gaël Varoquaux AI4TS 119 65 0 01 Jun 2021
Causal Inference in medicine and in health policy, a summary Wenhao Zhang Ramin Ramezani A. Naeim CML OOD 97 6 0 10 May 2021
Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach Felix Rempe P. Franeck Klaus Bogenberger 3DV 67 2 0 19 Apr 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey A. Sun H. Yoon C. Shih Zhi Zhong AI4CE 82 11 0 10 Apr 2021
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge Zichao Wang A. Lamb Evgeny S. Saveliev Pashmina Cameron Yordan Zaykov ... Richard G. Baraniuk Craig Barton Simon L. Peyton Jones Simon Woodhead Cheng Zhang AI4Ed 90 22 0 08 Apr 2021
Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization Edgar A. Bernal 43 1 0 03 Apr 2021
Blockchain-based Digital Twins: Research Trends, Issues, and Future Challenges S. Suhail Rasheed Hussain Raja Jurdak A. Oracevic K. Salah Raimundas Matulevičius Choong Seon Hong AI4CE 71 89 0 22 Mar 2021
Deep Distribution-preserving Incomplete Clustering with Optimal Transport Mingjie Luo Siwei Wang Xinwang Liu Wenxuan Tu Yi Zhang Xifeng Guo Sihang Zhou En Zhu 40 0 0 21 Mar 2021
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison Zhenhua Wang O. Akande Jason Poulos Fan Li BDL 91 24 0 14 Mar 2021
Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation Ahmed Ben Said A. Erradi 57 37 0 12 Mar 2021
Medical data wrangling with sequential variational autoencoders Daniel Barrejón Pablo M. Olmos Antonio Artés-Rodríguez DRL 72 11 0 12 Mar 2021
Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness Sahra Ghalebikesabi R. Cornish Luke J. Kelly Chris Holmes 54 5 0 05 Mar 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data Yu Gong Hossein Hajimirsadeghi Jiawei He Thibaut Durand Greg Mori CML 68 11 0 25 Feb 2021
Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance Chunjong Park Morelle S. Arian Xin Liu Leon Sasson Jeffrey Kahn Shwetak N. Patel Alex Mariakakis Tim Althoff 41 3 0 24 Feb 2021
MAIN: Multihead-Attention Imputation Networks Spyridon Mouselinos Kyriakos Polymenakos A. Nikitakis K. Kyriakopoulos 60 3 0 10 Feb 2021
Arbitrary Conditional Distributions with Energy R. Strauss Junier B. Oliva 74 18 0 08 Feb 2021
Wasserstein Graph Neural Networks for Graphs with Missing Attributes Zhi-Xing Chen Tengfei Ma Yangqiu Song Yangkun Wang GNN 112 2 0 06 Feb 2021
NRTSI: Non-Recurrent Time Series Imputation Siyuan Shan Yang Li Junier B. Oliva AI4TS 109 37 0 05 Feb 2021
InfoColorizer: Interactive Recommendation of Color Palettes for Infographics Linping Yuan Ziqi Zhou Jian Zhao Yiqiu Guo F. Du Huamin Qu 103 48 0 03 Feb 2021
Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework Ammar Mansoor Kamoona A. Gostar A. Bab-Hadiashar R. Hoseinnezhad 3DPC 77 6 0 03 Feb 2021
Multi-view Integration Learning for Irregularly-sampled Clinical Time Series Yurim Lee E. Jun Heung-Il Suk AI4TS 50 0 0 25 Jan 2021
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks Wei Qiu Yangsibo Huang Quanzheng Li GAN 48 5 0 23 Dec 2020
Artificial Neural Networks to Impute Rounded Zeros in Compositional Data M. Templ 49 8 0 18 Dec 2020
Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization Suhas Lohit Rushil Anirudh Pavan Turaga 81 12 0 03 Dec 2020
Domain Adaptation with Incomplete Target Domains Zhenpeng Li Jianan Jiang Yuhong Guo Tiantian Tang Chengxiang Zhuo Jieping Ye 35 1 0 03 Dec 2020
Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks S. Awan Bennamoun Ferdous Sohel Frank M. Sanfilippo Girish Dwivedi GAN AI4CE 42 64 0 01 Dec 2020
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 52 45 0 30 Nov 2020
PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data Yufeng Wang Dan Li Xiang Li Min Yang 75 67 0 16 Nov 2020
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning Yuan Jin Wray Buntine F. Petitjean Geoffrey I. Webb SSL 62 1 0 12 Nov 2020
Extended Missing Data Imputation via GANs for Ranking Applications Grace Deng Cuize Han David S. Matteson SyDa 73 9 0 04 Nov 2020
Handling Missing Data with Graph Representation Learning Jiaxuan You Xiaobai Ma D. Ding Mykel Kochenderfer J. Leskovec 101 187 0 30 Oct 2020
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data Chenxi Sun linda Qiao Moxian Song Hongyan Li AI4TS OOD 120 59 0 23 Oct 2020
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data Taehyean Choi Ji-Su Kang Jong-Hwan Kim SyDa AI4TS 82 22 0 20 Oct 2020
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk Riqiang Gao Yucheng Tang Kaiwen Xu M. Kammer S. Antic S. Deppen K. Sandler P. Massion Yuankai Huo Bennett A. Landman 55 10 0 19 Oct 2020
Estimating conditional density of missing values using deep Gaussian mixture model Marcin Przewiȩźlikowski Marek Śmieja Lukasz Struski BDL 52 7 0 05 Oct 2020
Online Missing Value Imputation and Change Point Detection with the Gaussian Copula Yuxuan Zhao Eric Landgrebe Eliot Shekhtman Madeleine Udell 95 10 0 25 Sep 2020