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Towards Diverse and Coherent Augmentation for Time-Series Forecasting

Towards Diverse and Coherent Augmentation for Time-Series Forecasting

24 March 2023
Xiyuan Zhang
Ranak Roy Chowdhury
Jingbo Shang
Rajesh K. Gupta
Dezhi Hong
    AI4TS
ArXivPDFHTML

Papers citing "Towards Diverse and Coherent Augmentation for Time-Series Forecasting"

4 / 4 papers shown
Title
Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series
  Forecasting
Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting
Dona Arabi
Jafar Bakhshaliyev
Ayse Coskuner
Kiran Madhusudhanan
Kami Serdar Uckardes
AI4TS
21
2
0
20 Aug 2024
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for
  Time-series Prediction
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction
Kai Zhao
Zuojie He
A. Hung
Dan Zeng
AI4TS
31
1
0
26 May 2024
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series
  in Contrastive Learning
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
B. U. Demirel
Christian Holz
AI4TS
6
17
0
23 Sep 2023
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
1