Unsupervised Scalable Representation Learning for Multivariate Time Series

30 January 2019

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

35 / 35 papers shown

Title
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity Mert Sonmezer Seyda Ertekin AI4TS 19 0 0 24 Apr 2025
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Jin Cui Alexander Capstick Payam Barnaghi Gregory Scott 39 0 0 14 Feb 2025
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection Kevin Garcia Juan Manuel Perez Yifeng Gao AI4TS 40 0 0 14 Feb 2025
Structure-preserving contrastive learning for spatial time series Yiru Jiao S. Cranenburgh Simeon C. Calvert H. Lint AI4TS 81 0 0 10 Feb 2025
Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang Wenbin Zhou Liyan Xie Shixiang Zhu 24 1 0 17 Oct 2024
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks Xin Tan Meng Zhao 19 0 0 09 Sep 2024
Capturing Temporal Components for Time Series Classification Venkata Ragavendra Vavilthota Ranjith Ramanathan Sathyanarayanan N. Aakur 18 0 0 20 Jun 2024
Nonlinear time-series embedding by monotone variational inequality Jonathan Y. Zhou Yao Xie AI4TS 16 0 0 11 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification Md. Atik Ahamed Qiang Cheng Mamba 42 1 0 06 Jun 2024
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Zhangkai Wu Xuhui Fan Jin Li Zhilin Zhao Hui Chen LongBing Cao 31 2 0 24 May 2024
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven Dandan Zhang Zhiqiang Zhang Nanguang Chen Yun Wang AI4TS 14 0 0 20 May 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 18 18 0 30 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 29 15 0 29 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 14 0 30 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 20 19 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 40 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 13 4 0 07 Dec 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 8 48 0 22 Aug 2023
Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors Boje Deforce Bart Baesens Janie Diels E. S. Asensio 11 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 10 82 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 11 5 0 22 Mar 2023
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification W. He Mingyue Cheng Qi Liu Zhi Li AI4TS 8 9 0 10 Feb 2023
Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series T. Kreutz M. Mühlhäuser Alejandro Sánchez Guinea 28 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 17 28 0 19 Dec 2022
Universal hidden monotonic trend estimation with contrastive learning Edouard Pineau S. Razakarivony Mauricio Gonzalez A. Schrapffer 14 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 17 687 0 05 Oct 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 15 4 0 29 Jun 2022
Utilizing Expert Features for Contrastive Learning of Time-Series Representations Manuel Nonnenmacher Lukas Oldenburg Ingo Steinwart David Reeb AI4TS 14 21 0 23 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 13 44 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 14 0 0 27 May 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series Yuanrong Wang T. Aste AI4TS 8 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 8 5 0 08 Mar 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion Ling Yang linda Qiao AI4TS 14 119 0 08 Feb 2022
Neighborhood Contrastive Learning Applied to Online Patient Monitoring Hugo Yèche Gideon Dresdner Francesco Locatello Matthias Huser Gunnar Rätsch 11 46 0 09 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 30 8 0 05 Jun 2021