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
Robust prediction under missingness shifts P. Rockenschaub Zhicong Xian Alireza Zamanian Marta Piperno Octavia-Andreea Ciora E. Pachl Narges Ahmidi OOD 84 0 0 24 Jun 2024
Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow Zhichao Chen Haoxuan Li Fangyikang Wang Odin Zhang Hu Xu Xiaoyu Jiang Zhihuan Song Eric H. Wang DiffM 120 3 0 22 Jun 2024
Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models Rui Zhou Chenyang Yuan Frank Permenter Yanxia Zhang Nikos Arechiga Matt Klenk Faez Ahmed DiffM 78 0 0 17 Jun 2024
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data Jianping Zhou Bin Lu Zhanyu Liu Siyu Pan Xuejun Feng Hua Wei Guanjie Zheng Xinbing Wang Chenghu Zhou 99 3 0 05 Jun 2024
Learning-Based WiFi Fingerprint Inpainting via Generative Adversarial Networks Yu Chan Pin-Yu Lin Yu-Yun Tseng Jen-Jee Chen Yu-Chee Tseng 38 1 0 04 Jun 2024
Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis Yi Hu Hyeonjin Kim Kai Ye Ning Lu 94 7 0 02 Jun 2024
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis SeungHwan An Gyeongdong Woo Jaesung Lim ChangHyun Kim Sungchul Hong Jong-June Jeon 128 1 0 31 May 2024
Knockout: A simple way to handle missing inputs Minh Le Nguyen Batuhan K. Karaman Heejong Kim Alan Q. Wang Fengbei Liu M. Sabuncu OOD UQCV 100 2 0 30 May 2024
Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports Yi Tian Xu Yun Fu 104 0 0 27 May 2024
SEGAN: semi-supervised learning approach for missing data imputation Xiaohua Pan Weifeng Wu Peiran Liu Zhen Li Peng Lu Peijian Cao Jianfeng Zhang Xianfei Qiu YangYang Wu VLM 76 0 0 21 May 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation Shunyang Zhang Senzhang Wang Hao Miao Hao Chen Changjun Fan Jian Zhang 94 7 0 21 May 2024
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing Chengqing Yu Fei Wang Zezhi Shao Tangwen Qian Zhao Zhang Wei Wei Yongjun Xu AI4CE 133 25 0 18 May 2024
OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning Bin Lu Ze Zhao Luyu Han Xiaoying Gan Yuntao Zhou Lei Zhou Luoyi Fu Xinbing Wang Cheng Zhou Jing Zhang AI4Cl AI4CE 82 3 0 12 May 2024
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs Xindi Zheng Yuwei Wu Yu Pan Wanyu Lin Lei Ma Jianjun Zhao 83 1 0 26 Apr 2024
A parameter-free clustering algorithm for missing datasets Qi Li Xianjun Zeng Shuliang Wang Wenhao Zhu Shijie Ruan Zhimeng Yuan 73 0 0 08 Apr 2024
LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models Haoran Li Junqi Liu Zexian Wang Shiyuan Luo Xiaowei Jia Huaxiu Yao 85 3 0 01 Apr 2024
What Is a Good Imputation Under MAR Missingness? Jeffrey Näf Erwan Scornet Julie Josse 88 3 0 28 Mar 2024
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model Yizhu Wen Kai Yi Jing Ke Yiqing Shen DiffM 87 8 0 20 Mar 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 96 61 0 18 Mar 2024
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation Xiaoyu Li Wenwen Min Shunfang Wang Changmiao Wang Taosheng Xu MedIm 63 7 0 16 Mar 2024
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport Alireza Pirhadi Mohammad Hossein Moslemi Alexander Cloninger Mostafa Milani Babak Salimi 75 5 0 04 Mar 2024
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data Qiao Han Mingqian Li Yao Yang Yiteng Zhai 68 0 0 29 Feb 2024
Understanding Missingness in Time-series Electronic Health Records for Individualized Representation Ghadeer O. Ghosheh Jin Li Tingting Zhu AI4TS 41 0 0 24 Feb 2024
Optimal Transport for Structure Learning Under Missing Data Vy Vo He Zhao Trung Le Edwin V. Bonilla Dinh Q. Phung CML 131 4 0 23 Feb 2024
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations G. Felice Andrea Cini Daniele Zambon Vladimir V. Gusev Cesare Alippi 89 7 0 19 Feb 2024
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation Yakun Chen Kaize Shi Zhangkai Wu Juan Chen Xianzhi Wang Julian McAuley Guandong Xu Shui Yu DiffM 114 4 0 18 Feb 2024
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records Ghadeer O. Ghosheh Jin Li Tingting Zhu 57 2 0 09 Jan 2024
In-Database Data Imputation Massimo Perini Milos Nikolic SyDa 84 3 0 07 Jan 2024
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation Hyowon Wi Yehjin Shin Noseong Park BDL AI4TS 101 5 0 27 Dec 2023
Adversarial Learning for Feature Shift Detection and Correction Míriam Barrabés D. M. Montserrat Margarita Geleta Xavier Giró-i-Nieto A. Ioannidis OOD 85 4 0 07 Dec 2023
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation Tong Nie Guoyang Qin Wei Ma Yuewen Mei Jiangming Sun AI4TS AI4CE 139 36 0 04 Dec 2023
Jellyfish: A Large Language Model for Data Preprocessing Haochen Zhang Yuyang Dong Chuan Xiao Masafumi Oyamada 125 27 0 04 Dec 2023
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation Yakun Chen Xianzhi Wang Guandong Xu AI4TS 110 34 0 24 Nov 2023
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes P. Srivatsa Thomas Plötz GNN 57 2 0 16 Nov 2023
How to Do Machine Learning with Small Data? -- A Review from an Industrial Perspective I. Kraljevski Yong Chul Ju Dmitrij Ivanov Constanze Tschope M. Wolff AI4CE 76 4 0 13 Nov 2023
BClean: A Bayesian Data Cleaning System Jianbin Qin Sifan Huang Yaoshu Wang Jing Zhu Yifan Zhang Yukai Miao Rui Mao Makoto Onizuka Chuan Xiao 49 4 0 11 Nov 2023
TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models Yangming Li DiffM AI4TS 101 5 0 06 Nov 2023
Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett Chang Jo Kim Ioana Bica Zhaozhi Qian A. Ercole M. Schaar AI4TS 89 36 0 28 Oct 2023
Posterior Consistency for Missing Data in Variational Autoencoders Timur Sudak Sebastian Tschiatschek 54 3 0 25 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 136 17 0 24 Oct 2023
Differentially Private Data Generation with Missing Data Shubhankar Mohapatra Jianqiao Zong F. Kerschbaum Xi He SyDa 85 1 0 17 Oct 2023
Asynchronous Graph Generator Christopher P. Ley Felipe Tobar AI4TS 185 0 0 29 Sep 2023
Missing-modality Enabled Multi-modal Fusion Architecture for Medical Data Muyu Wang Shiyu Fan Yichen Li Hui Chen MedIm 53 1 0 27 Sep 2023
ReMasker: Imputing Tabular Data with Masked Autoencoding Tianyu Du Luca Melis Ting Wang 71 19 0 25 Sep 2023
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees Alexia Jolicoeur-Martineau Kilian Fatras Tal Kachman 117 41 0 18 Sep 2023
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective Laixin Xie Ouyang Yang Long-fei Chen Ziming Wu Quan Li 69 1 0 18 Sep 2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation Shunyang Zhang Senzhang Wang Xianzhen Tan Ruochen Liu Jian Zhang Jianxin Wang 72 8 0 05 Sep 2023
Large Language Models as Data Preprocessors Haochen Zhang Yuyang Dong Chuan Xiao Masafumi Oyamada 82 33 0 30 Aug 2023
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition Shikai Fang Qingsong Wen Yingtao Luo Shandian Zhe Liang Sun AI4TS 56 9 0 28 Aug 2023
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-Attention Ou Deng Qun Jin 51 0 0 23 Aug 2023