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Triformer: Triangular, Variable-Specific Attentions for Long Sequence
  Multivariate Time Series Forecasting--Full Version

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version

28 April 2022
Razvan-Gabriel Cirstea
Chenjuan Guo
B. Yang
Tung Kieu
Xuanyi Dong
Shirui Pan
    AI4TS
ArXivPDFHTML

Papers citing "Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version"

11 / 11 papers shown
Title
Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs
Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs
Shuwen Sun
Lihong Feng
P. Benner
47
0
0
01 May 2025
Deep Learning for Time Series Forecasting: A Survey
X. Kong
Zhenghao Chen
Weiyao Liu
Kaili Ning
Lechao Zhang
Syauqie Muhammad Marier
Yichen Liu
Yuhao Chen
Feng Xia
AI4TS
AI4CE
53
4
0
13 Mar 2025
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical
  Convolution for Long-term Sequence Forecasting
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting
Zhihao Yu
Liantao Ma
Yasha Wang
Junfeng Zhao
AI4TS
13
0
0
28 Dec 2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal
  Forecasting
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
Xiaobei Zou
Luolin Xiong
Yang Tang
Jürgen Kurths
AI4TS
33
1
0
05 Dec 2023
Exploring Progress in Multivariate Time Series Forecasting:
  Comprehensive Benchmarking and Heterogeneity Analysis
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao
Fei Wang
Yongjun Xu
Wei Wei
Chengqing Yu
...
Guangyin Jin
Xin Cao
Gao Cong
Christian S. Jensen
Xueqi Cheng
AI4TS
23
58
0
09 Oct 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time
  Series Forecasting
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting
Li Shen
Yuning Wei
Yangzhu Wang
Huaxin Qiu
OOD
AI4TS
13
7
0
19 Jun 2023
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for
  Multivariate Time Series Forecasting Dependency for Multivariate Time Series
  Forecasting
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting
Donghao Luo
Xue Wang
BDL
AI4TS
19
2
0
04 Jun 2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble
  Distillation -- Extended Version
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version
David Campos
Miao Zhang
B. Yang
Tung Kieu
Chenjuan Guo
Christian S. Jensen
AI4TS
45
47
0
24 Feb 2023
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting
Weiheng Zhong
Tanwi Mallick
Hadi Meidani
Jane Macfarlane
Prasanna Balaprakash
AI4TS
23
5
0
27 Sep 2022
Are Transformers Effective for Time Series Forecasting?
Are Transformers Effective for Time Series Forecasting?
Ailing Zeng
Mu-Hwa Chen
L. Zhang
Qiang Xu
AI4TS
55
1,605
0
26 May 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