ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.08302
  4. Cited By
GBT: Two-stage transformer framework for non-stationary time series
  forecasting

GBT: Two-stage transformer framework for non-stationary time series forecasting

17 July 2023
Li Shen
Yuning Wei
Yangzhu Wang
    AI4TS
ArXivPDFHTML

Papers citing "GBT: Two-stage transformer framework for non-stationary time series forecasting"

8 / 8 papers shown
Title
Non-stationary BERT: Exploring Augmented IMU Data For Robust Human
  Activity Recognition
Non-stationary BERT: Exploring Augmented IMU Data For Robust Human Activity Recognition
Ning Sun
Yufei Wang
Yuwei Zhang
Jixiang Wan
Shenyue Wang
Ping Liu
Xudong Zhang
20
0
0
25 Sep 2024
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble
  Multi-Scenario Bi-GRU Networks
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks
Mohammed Alruqimi
L. D. Persio
OOD
18
4
0
15 Jul 2024
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for
  Predicting Blood Glucose Levels via Multivariate Time Series
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
Chengzhe Piao
Taiyu Zhu
S. Baldeweg
Paul Taylor
Pantelis Georgiou
Jiahao Sun
Jun Wang
Kezhi Li
AI4TS
19
1
0
26 Feb 2024
Hybrid Variational Autoencoder for Time Series Forecasting
Hybrid Variational Autoencoder for Time Series Forecasting
Borui Cai
Shuiqiao Yang
Longxiang Gao
Yong Xiang
BDL
AI4TS
38
13
0
13 Mar 2023
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
T. Zhang
Yizhuo Zhang
Wei Cao
Jiang Bian
Xiaohan Yi
Shun Zheng
Jian Li
BDL
AI4TS
95
153
0
04 Jul 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series
  Forecasting
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou
Ziqing Ma
Xue Wang
Qingsong Wen
Liang Sun
Tao Yao
Wotao Yin
Rong Jin
AI4TS
121
170
0
18 May 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting
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
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
3,885
0
14 Dec 2020
1