SAITS: Self-Attention-based Imputation for Time Series

17 February 2022

Papers citing "SAITS: Self-Attention-based Imputation for Time Series"

22 / 22 papers shown

Title
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Mengxuan Li Ke Liu Jialong Guo Jiajun Bu Hongwei Wang Haishuai Wang AI4TS 17 0 0 16 May 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Ruichu Cai Kaitao Zheng Junxian Huang Zijian Li Zhengming Chen Boyan Xu Zhifeng Hao AI4TS CML 31 0 0 12 May 2025
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Robert Leppich Michael Stenger Daniel Grillmeyer Vanessa Borst Samuel Kounev AI4TS AI4CE 69 0 0 26 Apr 2025
Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation Ye Su Hezhe Qiao Di Wu Yuwen Chen Lin Chen 33 0 0 03 Apr 2025
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning Tong Nie Wei Ma Jian Sun Yu Yang Jiannong Cao AI4TS AI4CE 36 0 0 20 Jan 2025
Boundary-enhanced time series data imputation with long-term dependency diffusion models Chunjing Xiao Xue Jiang Xianghe Du Wei Yang Wei Lu Xinyu Wang Kevin Chetty 52 1 0 11 Jan 2025
RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Ryo Fujii Hideo Saito Ryo Hachiuma AI4TS 106 1 0 26 Nov 2024
Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series Kohei Obata Koki Kawabata Yasuko Matsubara Yasushi Sakurai AI4TS 33 1 0 16 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 40 3 0 30 Aug 2024
Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang Wenjie Du Yiyuan Yang Linglong Qian Wei Cao Keli Zhang Wenjia Wang Yuxuan Liang Qingsong Wen AI4TS SyDa BDL 48 38 0 06 Feb 2024
Representation Learning for Wearable-Based Applications in the Case of Missing Data Janosch Jungo Yutong Xiang S. Gashi Christian Holz 29 1 0 08 Jan 2024
Knowledge Enhanced Conditional Imputation for Healthcare Time-series Linglong Qian Zina Ibrahim Hugh Logan Ellis Ao Zhang Yuezhou Zhang Tao Wang Richard J. B. Dobson AI4TS 34 2 0 27 Dec 2023
A novel feature selection framework for incomplete data Cong Guo 11 2 0 07 Dec 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Keli Zhang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 35 117 0 16 Oct 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 43 27 0 29 May 2023
Temporal Weights Adam A. Kohan E. Rietman H. Siegelmann 19 0 0 13 Dec 2022
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations Ivan Marisca Andrea Cini Cesare Alippi AI4TS 32 62 0 26 May 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,900 0 14 Dec 2020
Sparse Gaussian Process Variational Autoencoders Matthew Ashman Jonathan So Will Tebbutt Vincent Fortuin Michael Pearce Richard Turner 24 33 0 20 Oct 2020
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data Taehyean Choi Ji-Su Kang Jong-Hwan Kim SyDa AI4TS 22 21 0 20 Oct 2020
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 219 1,897 0 06 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,906 0 13 Jun 2015