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A Survey on Principles, Models and Methods for Learning from Irregularly
  Sampled Time Series
v1v2 (latest)

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

30 November 2020
Satya Narayan Shukla
Benjamin M. Marlin
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series"

20 / 20 papers shown
Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning
Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning
Jiexi Liu
Meng Cao
Songcan Chen
AI4TS
252
0
0
10 Nov 2025
TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis
TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis
Haokun Zhao
Xiang Zhang
Jiaqi Wei
Yiwei Xu
Yuting He
S. Sun
Chenyu You
AI4TS
250
7
0
02 Oct 2025
MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification
MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification
Shuhan Zhong
Weipeng Zhuo
Sizhe Song
Guanyao Li
Zhongyi Yu
Shueng-Han Gary Chan
AI4TS
150
0
0
22 Sep 2025
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Chengsen Wang
Q. Qi
Jiangming Wang
Haifeng Sun
Zirui Zhuang
J. Liao
AI4TS
350
0
0
01 May 2025
Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
Weijia Zhang
Chenlong Yin
Hao Liu
Hui Xiong
AI4TS
383
3
0
12 Aug 2024
All-in-one simulation-based inference
All-in-one simulation-based inference
Manuel Gloeckler
Michael Deistler
Christian D. Weilbach
Frank Wood
Jakob H. Macke
418
64
0
15 Apr 2024
Event-Based Contrastive Learning for Medical Time Series
Event-Based Contrastive Learning for Medical Time SeriesMachine Learning in Health Care (MLHC), 2023
Hyewon Jeong
Nassim Oufattole
Matthew B. A. McDermott
Aparna Balagopalan
P. Chandak
Marzyeh Ghassemi
Collin M. Stultz
447
12
0
16 Dec 2023
Graph Deep Learning for Time Series Forecasting
Graph Deep Learning for Time Series ForecastingACM Computing Surveys (ACM Comput. Surv.), 2023
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TSAI4CE
473
36
0
24 Oct 2023
Irregular Traffic Time Series Forecasting Based on Asynchronous
  Spatio-Temporal Graph Convolutional Network
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional NetworkKnowledge Discovery and Data Mining (KDD), 2023
Weijia Zhang
Le Zhang
Jindong Han
Hao Liu
Jingbo Zhou
Yu Mei
Hui Xiong
GNNAI4TS
270
27
0
31 Aug 2023
PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series
PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series
Nicasia Beebe-Wang
Sayna Ebrahimi
Chang Jo Kim
Sercan O. Arik
Tomas Pfister
AI4TS
141
5
0
25 Aug 2023
Methods for Acquiring and Incorporating Knowledge into Stock Price
  Prediction: A Survey
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey
Liping Wang
Jiawei Li
Lifan Zhao
Zhizhuo Kou
Xiaohan Wang
Xinyi Zhu
Hao Wang
Yanyan Shen
Lei Chen
AIFin
315
11
0
09 Aug 2023
MultiWave: Multiresolution Deep Architectures through Wavelet
  Decomposition for Multivariate Time Series Prediction
MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series PredictionACM Conference on Health, Inference, and Learning (CHIL), 2023
I. Deznabi
M. Fiterau
AI4TS
259
8
0
16 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Probabilistic Learning of Multivariate Time Series with Temporal IrregularityIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yijun Li
Cheuk Hang Leung
Qi Wu
AI4TS
330
1
0
15 Jun 2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
IVP-VAE: Modeling EHR Time Series with Initial Value Problem SolversAAAI Conference on Artificial Intelligence (AAAI), 2023
Jing Xiao
Leonie Basso
Wolfgang Nejdl
Niloy Ganguly
Sandipan Sikdar
AI4TS
301
10
0
11 May 2023
DuETT: Dual Event Time Transformer for Electronic Health Records
DuETT: Dual Event Time Transformer for Electronic Health RecordsMachine Learning in Health Care (MLHC), 2023
Alex Labach
Aslesha Pokhrel
Xiao Shi Huang
S. Zuberi
S. Yi
Anthony L. Caterini
T. Poutanen
Rahul G. Krishnan
AI4TSMedIm
342
16
0
25 Apr 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
316
74
0
10 Feb 2023
Stop&Hop: Early Classification of Irregular Time Series
Stop&Hop: Early Classification of Irregular Time SeriesInternational Conference on Information and Knowledge Management (CIKM), 2022
Thomas Hartvigsen
Walter Gerych
Jidapa Thadajarassiri
Xiangnan Kong
Elke A. Rundensteiner
AI4TS
218
14
0
21 Aug 2022
Modeling Irregular Time Series with Continuous Recurrent Units
Modeling Irregular Time Series with Continuous Recurrent UnitsInternational Conference on Machine Learning (ICML), 2021
Mona Schirmer
Mazin Eltayeb
Stefan Lessmann
Maja R. Rudolph
BDLAI4TS
386
126
0
22 Nov 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
364
153
0
11 Oct 2021
LIFE: Learning Individual Features for Multivariate Time Series
  Prediction with Missing Values
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values
Zhao Zhang
Shao-Qun Zhang
Yuan Jiang
Zhi Zhou
AI4TS
163
8
0
30 Sep 2021
1
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