CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

3 February 2022

Papers citing "CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting"

3 / 3 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 28 48 0 26 Apr 2025
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition Linxiao Yang Qingsong Wen Bo Yang Liang Sun AI4TS 56 10 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 122 2,327 0 14 Dec 2020