Learning to Embed Time Series Patches Independently

27 December 2023

Papers citing "Learning to Embed Time Series Patches Independently"

9 / 9 papers shown

Title
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
Contrastive Learning for Continuous Touch-Based Authentication Mengyu Qiao Yunpeng Zhai Yang Wang AAML 37 0 0 24 Apr 2025
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting Yuxuan Shu Vasileios Lampos AI4TS AI4CE 70 0 0 11 Jun 2024
Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective Zhijian Xu Hao Wang Qiang Xu AI4TS 41 11 0 22 May 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
Deep Feature Selection Using a Novel Complementary Feature Mask Yiwen Liao J. Rivoir Raphael Latty Bin Yang 19 2 0 25 Sep 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi AI4TS 117 394 0 03 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021