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Time Series Data Imputation: A Survey on Deep Learning Approaches

Time Series Data Imputation: A Survey on Deep Learning Approaches

23 November 2020
Chenguang Fang
Chen Wang
    SyDaAI4TSAI4CE
ArXiv (abs)PDFHTML

Papers citing "Time Series Data Imputation: A Survey on Deep Learning Approaches"

26 / 26 papers shown
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
Zeqi Ye
Minshuo Chen
190
0
0
02 Oct 2025
From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting
From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting
Xilin Dai
Zhijian Xu
Wanxu Cai
Qiang Xu
AI4TS
229
2
0
24 Sep 2025
Foundation Models for Environmental Science: A Survey of Emerging Frontiers
Foundation Models for Environmental Science: A Survey of Emerging Frontiers
Runlong Yu
Shengyu Chen
Yiqun Xie
Huaxiu Yao
J. Willard
X. Jia
AI4CE
633
9
0
05 Apr 2025
Foundation Models for Time Series: A Survey
Foundation Models for Time Series: A Survey
Siva Rama Krishna Kottapalli
Karthik Hubli
Sandeep Chandrashekhara
Garima Jain
Sunayana Hubli
Gayathri Botla
Ramesh Doddaiah
AI4TSAI4CE
484
14
0
05 Apr 2025
Early Prediction of Causes (not Effects) in Healthcare by Long-Term
  Clinical Time Series Forecasting
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series ForecastingMachine Learning in Health Care (MLHC), 2024
Michael Staniek
Marius Fracarolli
Michael Hagmann
Stefan Riezler
OODAI4TS
347
3
0
07 Aug 2024
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network
  for Multivariate Time Series Imputation
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series ImputationInternational Conference on Information and Knowledge Management (CIKM), 2024
Guojun Liang
Prayag Tiwari
Slawomir Nowaczyk
Stefan Byttner
AI4TSAI4CE
537
19
0
16 May 2024
Deep Learning for Multivariate Time Series Imputation: A Survey
Deep Learning for Multivariate Time Series Imputation: A SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Jun Wang
Wenjie Du
Yiyuan Yang
Linglong Qian
Wei Cao
Yuxuan Liang
Wenjia Wang
Yuxuan Liang
Qingsong Wen
AI4TSSyDaBDL
503
108
0
06 Feb 2024
CSAI: Conditional Self-Attention Imputation for Healthcare Time-series
CSAI: Conditional Self-Attention Imputation for Healthcare Time-series
Linglong Qian
Joseph Arul Raj
Hugh Logan Ellis
Ao Zhang
Yuezhou Zhang
Tao Wang
Richard J. B. Dobson
Zina Ibrahim
AI4TS
390
2
0
27 Dec 2023
Comparative Analysis of Transformers for Modeling Tabular Data: A
  Casestudy using Industry Scale Dataset
Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset
Usneek Singh
Piyush Arora
Shamika Ganesan
Mohit Kumar
Siddhant Kulkarni
Salil R. Joshi
232
2
0
24 Nov 2023
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate
  Time Series
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time SeriesInternational Conference on Learning Representations (ICLR), 2023
Arjun Ashok
Étienne Marcotte
Valentina Zantedeschi
Nicolas Chapados
Alexandre Drouin
AI4TS
369
26
0
02 Oct 2023
BayOTIDE: Bayesian Online Multivariate Time series Imputation with
  functional decomposition
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decompositionInternational Conference on Machine Learning (ICML), 2023
Shikai Fang
Qingsong Wen
Yingtao Luo
Shandian Zhe
Liang Sun
AI4TS
298
17
0
28 Aug 2023
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a
  Set of Time Series
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series
Jan-Philipp Roche
Oliver Niggemann
J. Friebe
158
3
0
21 Aug 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TSAI4CE
503
426
0
07 Jul 2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series
  Anomaly Detection
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly DetectionProceedings of the VLDB Endowment (PVLDB), 2023
Yuhang Chen
Chen Zhang
Minghua Ma
Yudong Liu
Ruomeng Ding
Yue Liu
Shilin He
Saravan Rajmohan
Qingwei Lin
Dongmei Zhang
DiffM
299
111
0
03 Jul 2023
Networked Time Series Imputation via Position-aware Graph Enhanced
  Variational Autoencoders
Networked Time Series Imputation via Position-aware Graph Enhanced Variational AutoencodersKnowledge Discovery and Data Mining (KDD), 2023
Dingsu Wang
Yuchen Yan
Ruizhong Qiu
Yada Zhu
Kaiyu Guan
A. Margenot
Hanghang Tong
AI4TS
411
52
0
29 May 2023
A robust deep learning-based damage identification approach for SHM
  considering missing data
A robust deep learning-based damage identification approach for SHM considering missing dataApplied Sciences (Appl. Sci.), 2023
Fan Deng
Xiaoming Tao
Pengxiang Wei
Shiyin Wei
158
20
0
31 Mar 2023
Deep Imputation of Missing Values in Time Series Health Data: A Review
  with Benchmarking
Deep Imputation of Missing Values in Time Series Health Data: A Review with BenchmarkingJournal of Biomedical Informatics (JBI), 2023
Maksims Kazijevs
Manar D. Samad
BDLAI4TS
343
82
0
10 Feb 2023
Multistage Large Segment Imputation Framework Based on Deep Learning and
  Statistic Metrics
Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic MetricsSocial Science Research Network (SSRN), 2022
Jinsheng Yang
Yuanhai Shao
Chunna Li
Wen-Si Wang
AI4TS
220
0
0
22 Sep 2022
Diffusion-based Time Series Imputation and Forecasting with Structured
  State Space Models
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Miguel Lopez Alcaraz
Nils Strodthoff
DiffM
488
268
0
19 Aug 2022
HyperTime: Implicit Neural Representation for Time Series
HyperTime: Implicit Neural Representation for Time Series
Elizabeth Fons
Alejandro Sztrajman
Yousef El-Laham
Alexandros Iosifidis
Svitlana Vyetrenko
AI4TS
203
32
0
11 Aug 2022
Convolutional Neural Networks for Time-dependent Classification of
  Variable-length Time Series
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time SeriesIEEE International Joint Conference on Neural Network (IJCNN), 2022
Azusa Sawada
Taiki Miyagawa
Akinori F. Ebihara
S. Yachida
Toshinori Hosoi
AI4TS
200
4
0
08 Jul 2022
Time Series Generation with Masked Autoencoder
Time Series Generation with Masked Autoencoder
Meng-yue Zha
SiuTim Wong
Mengqi Liu
Tong Zhang
Kani Chen
SyDaAI4TS
323
20
0
14 Jan 2022
DeepFIB: Self-Imputation for Time Series Anomaly Detection
DeepFIB: Self-Imputation for Time Series Anomaly Detection
Minhao Liu
Zhijian Xu
Qiang Xu
AI4TS
175
6
0
12 Dec 2021
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Graph-Guided Network for Irregularly Sampled Multivariate Time SeriesInternational Conference on Learning Representations (ICLR), 2021
Xiang Zhang
M. Zeman
Theodoros Tsiligkaridis
Marinka Zitnik
MLAUAI4TS
393
159
0
11 Oct 2021
Time Series Prediction using Deep Learning Methods in Healthcare
Time Series Prediction using Deep Learning Methods in HealthcareACM Transactions on Management Information Systems (ACM TMIS), 2021
M. Morid
O. R. Sheng
Josef A. Dunbar
OODAI4TS
408
213
0
30 Aug 2021
Online Mobile App Usage as an Indicator of Sleep Behavior and Job
  Performance
Online Mobile App Usage as an Indicator of Sleep Behavior and Job PerformanceThe Web Conference (WWW), 2021
Chunjong Park
Morelle S. Arian
Xin Liu
Leon Sasson
Jeffrey Kahn
Shwetak N. Patel
Alex Mariakakis
Tim Althoff
88
3
0
24 Feb 2021
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