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Grasping Core Rules of Time Series through Pure Models

Grasping Core Rules of Time Series through Pure Models

15 August 2022
Gedi Liu
Yifeng Jiang
Yicun Ouyang
Keyang Zhong
Yang Wang
    AI4TS
ArXivPDFHTML

Papers citing "Grasping Core Rules of Time Series through Pure Models"

4 / 4 papers shown
Title
Less Is More: Fast Multivariate Time Series Forecasting with Light
  Sampling-oriented MLP Structures
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures
Tianze Zhang
Yizhuo Zhang
Wei Cao
Jiang Bian
Xiaohan Yi
Shun Zheng
Jian Li
BDL
AI4TS
95
155
0
04 Jul 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
308
7,457
0
11 Nov 2021
MLP-Mixer: An all-MLP Architecture for Vision
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
277
2,606
0
04 May 2021
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
169
3,900
0
14 Dec 2020
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