Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2202.08516
Cited By
v1
v2
v3
v4
v5 (latest)
SAITS: Self-Attention-based Imputation for Time Series
Expert systems with applications (ESWA), 2022
17 February 2022
Wenjie Du
David Cote
Wenshu Fan
AI4TS
Re-assign community
ArXiv (abs)
PDF
HTML
HuggingFace (1 upvotes)
Github (415★)
Papers citing
"SAITS: Self-Attention-based Imputation for Time Series"
50 / 106 papers shown
Task-oriented Time Series Imputation Evaluation via Generalized Representers
Neural Information Processing Systems (NeurIPS), 2024
Zhixian Wang
Linxiao Yang
Liang Sun
Qingsong Wen
Yi Wang
AI4TS
358
4
0
09 Oct 2024
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
Omkar Kulkarni
Rohitash Chandra
CML
AI4TS
BDL
243
1
0
01 Oct 2024
Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series
Knowledge Discovery and Data Mining (KDD), 2024
Kohei Obata
Koki Kawabata
Yasuko Matsubara
Yasushi Sakurai
AI4TS
192
6
0
16 Sep 2024
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Guojun Liang
N. Abiri
Atiye Sadat Hashemi
Jens Lundstrom
Stefan Byttner
Prayag Tiwari
DiffM
170
1
0
13 Sep 2024
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Tong Nie
Junlin He
Yuewen Mei
Guoyang Qin
Guilong Li
Jian Sun
Wei Ma
347
10
0
30 Aug 2024
An End-to-End Model for Time Series Classification In the Presence of Missing Values
Pengshuai Yao
Mengna Liu
Xu Cheng
Fan Shi
Huan Li
Xiufeng Liu
Shengyong Chen
AI4TS
205
3
0
11 Aug 2024
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation
International Conference on Information and Knowledge Management (CIKM), 2024
Jianping Zhou
Junhao Li
Guanjie Zheng
Xinbing Wang
Chenghu Zhou
293
24
0
11 Aug 2024
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives
Yiyuan Yang
Zheshun Wu
Yong Chu
Zhenghua Chen
Zenglin Xu
Qingsong Wen
185
1
0
15 Jul 2024
Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation
Hui Wei
Maxwell A. Xu
Colin Samplawski
James M. Rehg
Santosh Kumar
Benjamin M. Marlin
165
4
0
27 Jun 2024
Multi-scale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention Network
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Zaiyan Zhang
Jining Yan
Yuanqi Liang
Jiaxin Feng
Haixu He
Wei Han
133
2
0
19 Jun 2024
Time Series Representation Models
Robert Leppich
Vanessa Borst
Veronika Lesch
Samuel Kounev
AI4TS
132
1
0
28 May 2024
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning
Chun-Kai Huang
Yi-Hsien Hsieh
Ta-Jung Chien
Li-Cheng Chien
Shao-Hua Sun
T. Su
J. Kao
Che Lin
AI4TS
242
2
0
26 May 2024
Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputation
Linglong Qian
Zina Ibrahim
Wenjie Du
Yiyuan Yang
Richard J. B. Dobson
Zina Ibrahim
AI4TS
445
2
0
26 May 2024
NuwaTS: a Foundation Model Mending Every Incomplete Time Series
Jinguo Cheng
Chunwei Yang
Wanlin Cai
Yuxuan Liang
Yuankai Wu
AI4TS
309
4
0
24 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
189
12
0
21 May 2024
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
Knowledge Discovery and Data Mining (KDD), 2024
Chengqing Yu
Fei Wang
Zezhi Shao
Tangwen Qian
Zhao Zhang
Wei Wei
Yongjun Xu
AI4CE
317
49
0
18 May 2024
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
International Conference on Information and Knowledge Management (CIKM), 2024
Guojun Liang
Prayag Tiwari
Slawomir Nowaczyk
Stefan Byttner
AI4TS
AI4CE
430
16
0
16 May 2024
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask
Knowledge Discovery and Data Mining (KDD), 2024
Zineb Senane
Lele Cao
V. Buchner
Yusuke Tashiro
Lei You
P. Herman
Mats Nordahl
Ruibo Tu
Vilhelm von Ehrenheim
DiffM
AI4TS
263
25
0
09 May 2024
Time Weaver: A Conditional Time Series Generation Model
International Conference on Machine Learning (ICML), 2024
Sai Shankar Narasimhan
Shubhankar Agarwal
Oguzhan Akcin
Sujay Sanghavi
Sandeep Chinchali
MedIm
DiffM
432
32
0
05 Mar 2024
Understanding Missingness in Time-series Electronic Health Records for Individualized Representation
Ghadeer O. Ghosheh
Jin Li
Tingting Zhu
AI4TS
170
1
0
24 Feb 2024
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
G. Felice
Andrea Cini
Daniele Zambon
Vladimir V. Gusev
Cesare Alippi
230
8
0
19 Feb 2024
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data
Ghadeer O. Ghosheh
Moritz Gögl
Tingting Zhu
198
0
0
07 Feb 2024
Deep Learning for Multivariate Time Series Imputation: A Survey
International 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
AI4TS
SyDa
BDL
446
85
0
06 Feb 2024
Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction
Weibin Liao
Yinghao Zhu
Zixiang Wang
Xu Chu
Yasha Wang
Liantao Ma
Yasha Wang
Liantao Ma
265
2
0
30 Jan 2024
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series
Zhihao Yu
Xu Chu
Liantao Ma
Yasha Wang
Wenwu Zhu
AI4TS
139
2
0
14 Jan 2024
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records
Ghadeer O. Ghosheh
Jin Li
Tingting Zhu
137
2
0
09 Jan 2024
Representation Learning for Wearable-Based Applications in the Case of Missing Data
Janosch Jungo
Yutong Xiang
S. Gashi
Christian Holz
314
6
0
08 Jan 2024
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation
Hyowon Wi
Yehjin Shin
Noseong Park
BDL
AI4TS
402
11
0
27 Dec 2023
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
310
2
0
27 Dec 2023
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
Adrien Petralia
Philippe Charpentier
Themis Palpanas
AI4TS
233
6
0
17 Dec 2023
A novel feature selection framework for incomplete data
Cong Guo
130
5
0
07 Dec 2023
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation
Knowledge Discovery and Data Mining (KDD), 2023
Tong Nie
Guoyang Qin
Wei Ma
Yuewen Mei
Jiangming Sun
AI4TS
AI4CE
378
74
0
04 Dec 2023
Deep sub-ensembles meets quantile regression: uncertainty-aware imputation for time series
Machine-mediated learning (ML), 2023
Ying Liu
Peng Cui
Wenbo Hu
Richang Hong
AI4TS
DiffM
BDL
444
2
0
03 Dec 2023
Spatiotemporal Transformer for Imputing Sparse Data: A Deep Learning Approach
Kehui Yao
Jingyi Huang
Jun Zhu
90
2
0
01 Dec 2023
Correlated Attention in Transformers for Multivariate Time Series
Quang Minh Nguyen
Lam M. Nguyen
Subhro Das
AI4TS
114
6
0
20 Nov 2023
Iterative missing value imputation based on feature importance
Knowledge and Information Systems (KAIS), 2023
Cong Guo
Chun Liu
Wei Yang
206
7
0
14 Nov 2023
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version)
Proceedings of the VLDB Endowment (PVLDB), 2023
Xiao Li
Huan Li
Hua Lu
Christian S. Jensen
Varun Pandey
Volker Markl
165
14
0
13 Nov 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
410
163
0
16 Oct 2023
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Seungwoo Jeong
Wonsik Jung
Junghyo Sohn
Heung-Il Suk
234
6
0
05 Oct 2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Shunyang Zhang
Senzhang Wang
Xianzhen Tan
Ruochen Liu
Jian Zhang
Jianxin Wang
173
10
0
05 Sep 2023
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition
International Conference on Machine Learning (ICML), 2023
Shikai Fang
Qingsong Wen
Yingtao Luo
Shandian Zhe
Liang Sun
AI4TS
210
14
0
28 Aug 2023
Probabilistic Imputation for Time-series Classification with Missing Data
International Conference on Machine Learning (ICML), 2023
Seunghyun Kim
Hyunsung Kim
Eunggu Yun
Hwa-Kyung Lee
Jaehun Lee
Juho Lee
AI4TS
256
33
0
13 Aug 2023
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning
Aaditya Naik
Adam Stein
Yinjun Wu
Mayur Naik
Eric Wong
259
4
0
13 Aug 2023
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
E. L. Naour
Louis Serrano
Léon Migus
Yuan Yin
G. Agoua
Nicolas Baskiotis
Patrick Gallinari
Vincent Guigue
BDL
AI4TS
354
15
0
09 Jun 2023
DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis
International Conference on Software Engineering Research and Applications (ICSERA), 2023
Nour Neifar
A. Ben-Hamadou
Afef Mdhaffar
M. Jmaiel
DiffM
371
18
0
02 Jun 2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
Trang H. Tran
Lam M. Nguyen
K. Yeo
Nam H. Nguyen
Dzung Phan
Roman Vaculin
Jayant Kalagnanam
SyDa
BDL
AI4TS
178
5
0
01 Jun 2023
PyPOTS: A Python Toolkit for Machine Learning on Partially-Observed Time Series
Wenjie Du
Yiyuan Yang
Linglong Qian
Jun Wang
Qingsong Wen
AI4TS
137
22
0
30 May 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
Knowledge Discovery and Data Mining (KDD), 2023
Dingsu Wang
Yuchen Yan
Ruizhong Qiu
Yada Zhu
Kaiyu Guan
A. Margenot
Hanghang Tong
AI4TS
340
43
0
29 May 2023
Interpretation of Time-Series Deep Models: A Survey
Ziqi Zhao
Yucheng Shi
Shushan Wu
Fan Yang
Wenzhan Song
Ninghao Liu
AI4TS
282
15
0
23 May 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
International Conference on Machine Learning (ICML), 2023
Aaditya Naik
Yinjun Wu
Mayur Naik
Eric Wong
257
5
0
02 Mar 2023
Previous
1
2
3
Next
