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TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale
  Patching and Smooth Quadratic Loss

TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss

19 November 2023
Site Mo
Haoxin Wang
Bixiong Li
Songhai Fan
Yuankai Wu
Xianggen Liu
    AI4TS
ArXivPDFHTML

Papers citing "TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss"

3 / 3 papers shown
Title
Adaptive Convolutional Forecasting Network Based on Time Series
  Feature-Driven
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven
Dandan Zhang
Zhiqiang Zhang
Nanguang Chen
Yun Wang
AI4TS
37
0
0
20 May 2024
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
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
164
3,799
0
14 Dec 2020
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
127
601
0
05 Mar 2017
1