Unsupervised Scalable Representation Learning for Multivariate Time Series

30 January 2019

Papers citing "Unsupervised Scalable Representation Learning for Multivariate Time Series"

50 / 69 papers shown

Title
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity Mert Sonmezer Seyda Ertekin AI4TS 26 0 0 24 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis Xiangkai Ma Xiaobin Hong Wenzhong Li Sanglu Lu AI4TS 32 0 0 19 Apr 2025
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection Kevin Garcia Juan Manuel Perez Yifeng Gao AI4TS 50 0 0 14 Feb 2025
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Jin Cui Alexander Capstick Payam Barnaghi Gregory Scott 49 0 0 14 Feb 2025
Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia Jin Cui Alexander Capstick Payam Barnaghi Gregory Scott 62 0 0 13 Feb 2025
Structure-preserving contrastive learning for spatial time series Yiru Jiao S. Cranenburgh Simeon C. Calvert H. Lint AI4TS 92 0 0 10 Feb 2025
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang Jiawei Li X. Shi Zhou Ye Baichuan Mo Wenze Lin Shengtong Ju Zhixuan Chu Ming Jin AI4TS 40 9 0 21 Oct 2024
Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang Wenbin Zhou Liyan Xie Shixiang Zhu 40 1 0 17 Oct 2024
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks Xin Tan Meng Zhao 37 0 0 09 Sep 2024
Capturing Temporal Components for Time Series Classification Venkata Ragavendra Vavilthota Ranjith Ramanathan Sathyanarayanan N. Aakur 28 0 0 20 Jun 2024
Nonlinear time-series embedding by monotone variational inequality Jonathan Y. Zhou Yao Xie AI4TS 36 0 0 11 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification Md. Atik Ahamed Qiang Cheng Mamba 66 1 0 06 Jun 2024
CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System Justin Reverdi Sixin Zhang Said Aoues Fabrice Gamboa Serge Gratton Thomas Pellegrini 39 0 0 27 May 2024
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Zhangkai Wu Xuhui Fan Jin Li Zhilin Zhao Hui Chen LongBing Cao 52 2 0 24 May 2024
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven Dandan Zhang Zhiqiang Zhang Nanguang Chen Yun Wang AI4TS 42 0 0 20 May 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series Zahra Zamanzadeh Darban Yiyuan Yang Geoffrey I. Webb Charu C. Aggarwal Qingsong Wen Shirui Pan Mahsa Salehi 60 0 0 17 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 38 19 0 30 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series Baoyu Jing Yansen Wang Guoxin Sui Jing Hong Jingrui He Yuqing Yang Dongsheng Li Kan Ren AI4TS 32 6 0 19 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 38 15 0 29 Feb 2024
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting Young-Jin Park Donghyun Kim Frédéric Odermatt Juho Lee KyungHyun Kim AI4TS 42 3 0 29 Feb 2024
Pretext Training Algorithms for Event Sequence Data Yimu Wang He Zhao Ruizhi Deng Frederick Tung Greg Mori AI4TS 34 0 0 16 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Weijiao Zhang Jindong Han Zhao Xu Hang Ni Hao Liu Hui Xiong Hui Xiong AI4CE 77 15 0 30 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 35 20 0 17 Jan 2024
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning Cheng Liang Donghua Yang Zhiyu Liang Hongzhi Wang Zheng Liang Xiyang Zhang Jianfeng Huang AI4TS 152 1 0 09 Dec 2023
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification Navid Mohammadi Foumani Chang Wei Tan Geoffrey I. Webb Hamid Rezatofighi Mahsa Salehi SSL AI4TS 31 5 0 07 Dec 2023
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 15 10 0 19 Nov 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series Yihe Wang Yu Han Haishuai Wang Xiang Zhang AI4TS 32 46 0 21 Oct 2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting Shengsheng Lin Weiwei Lin Wentai Wu Feiyu Zhao Ruichao Mo Haotong Zhang AI4TS 37 51 0 22 Aug 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 37 112 0 16 Aug 2023
Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors Boje Deforce Bart Baesens Janie Diels E. S. Asensio 23 0 0 09 May 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 23 85 0 11 Apr 2023
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach Elliot Vincent Jean Ponce Mathieu Aubry AI4TS 13 5 0 22 Mar 2023
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections E. Brouwer Rahul G. Krishnan AI4TS 17 0 0 03 Mar 2023
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification W. He Mingyue Cheng Qi Liu Zhi Li AI4TS 26 9 0 10 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong Haixu Wu Haoran Zhang Li Zhang Jianmin Wang Mingsheng Long AI4TS 29 82 0 02 Feb 2023
Unsupervised Driving Event Discovery Based on Vehicle CAN-data Thomas Kreutz O. Esbel M. Mühlhäuser Alejandro Sánchez Guinea 18 1 0 12 Jan 2023
Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series T. Kreutz M. Mühlhäuser Alejandro Sánchez Guinea 49 13 0 30 Dec 2022
Dynamic Sparse Network for Time Series Classification: Learning What to "see'' Qiao Xiao Boqian Wu Yu Zhang Shiwei Liu Mykola Pechenizkiy Elena Mocanu D. Mocanu AI4TS 38 28 0 19 Dec 2022
Convolution-enhanced Evolving Attention Networks Yujing Wang Yaming Yang Zhuowan Li Jiangang Bai Mingliang Zhang Xiangtai Li Jiahao Yu Ce Zhang Gao Huang Yu Tong ViT 27 6 0 16 Dec 2022
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series Qianwen Meng Hangwei Qian Yong Liu Li-zhen Cui Yonghui Xu Zhiqi Shen AI4TS 31 33 0 02 Dec 2022
Universal hidden monotonic trend estimation with contrastive learning Edouard Pineau S. Razakarivony Mauricio Gonzalez A. Schrapffer 28 0 0 18 Oct 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 60 708 0 05 Oct 2022
Learning Informative Health Indicators Through Unsupervised Contrastive Learning Katharina Rombach Gabriel Michau Wilfried Bürzle Stefan Koller Olga Fink SSL 15 2 0 28 Aug 2022
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images Kristoffer Wickstrøm Eirik Agnalt Ostmo Keyur Radiya Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen SSL 23 13 0 11 Jul 2022
Intrinsic Anomaly Detection for Multi-Variate Time Series Stephan Rabanser Tim Januschowski Kashif Rasul Oliver Borchert Richard Kurle Jan Gasthaus Michael Bohlke-Schneider Nicolas Papernot Valentin Flunkert AI4TS 36 4 0 29 Jun 2022
Utilizing Expert Features for Contrastive Learning of Time-Series Representations Manuel Nonnenmacher Lukas Oldenburg Ingo Steinwart David Reeb AI4TS 28 21 0 23 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 34 45 0 13 Jun 2022
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering Xing Han Tongzheng Ren Jing Hu Joydeep Ghosh Nhat Ho AI4TS 27 0 0 27 May 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series Yuanrong Wang T. Aste AI4TS 26 10 0 08 Mar 2022
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification Yijiang Chen Xiangdong Zhou Zhen Xing Zhidan Liu Minyang Xu AI4TS SSL 24 5 0 08 Mar 2022