TimeMAE: Self-Supervised Representations of Time Series with Decoupled
Masked Autoencoders

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders

1 March 2023

Mingyue Cheng

Qi Liu

Enhong Chen

Papers citing "TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders"

8 / 8 papers shown

Title
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity Mert Sonmezer Seyda Ertekin AI4TS 21 0 0 24 Apr 2025
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
Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series Hongbo Guo Xinzi Xu Hao Wu Guoxing Wang AI4TS 10 1 0 06 Dec 2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series Rita Kuznetsova Alizée Pace Manuel Burger Hugo Yèche Gunnar Rätsch AI4TS 19 5 0 15 Nov 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals Xiang Lan Dianwen Ng linda Qiao Mengling Feng OOD 40 51 0 18 Sep 2021
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 161 3,799 0 14 Dec 2020
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 85 1,058 0 11 Sep 2019