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2205.13504
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Are Transformers Effective for Time Series Forecasting?
AAAI Conference on Artificial Intelligence (AAAI), 2022
26 May 2022
Ailing Zeng
Mu-Hwa Chen
L. Zhang
Qiang Xu
AI4TS
Re-assign community
ArXiv (abs)
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Github (2219★)
Papers citing
"Are Transformers Effective for Time Series Forecasting?"
38 / 488 papers shown
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Knowledge Discovery and Data Mining (KDD), 2023
Vijayabharathi Ekambaram
Arindam Jati
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AI4TS
468
274
0
14 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations
Neural Information Processing Systems (NeurIPS), 2023
H. Bendekgey
Gabriel Hope
Erik B. Sudderth
OCL
BDL
DRL
191
1
0
14 Jun 2023
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
E. L. Naour
Louis Serrano
Léon Migus
Yuan Yin
G. Agoua
Nicolas Baskiotis
Patrick Gallinari
Vincent Guigue
BDL
AI4TS
351
15
0
09 Jun 2023
Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge
Yvenn Amara-Ouali
Y. Goude
Nathan Doumèche
Pascal Veyret
Alexis Thomas
...
Aymeric Jan
Yannick Deleuze
Paul Berhaut
Sébastien Treguer
Tiphaine Phe-Neau
190
7
0
09 Jun 2023
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
Neural Information Processing Systems (NeurIPS), 2023
Oussama Boussif
Ghait Boukachab
D. Assouline
Stefano Massaroli
T. Yuan
L. Benabbou
Yoshua Bengio
376
24
0
01 Jun 2023
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting
Jiaxin Gao
Wenbo Hu
Yuntian Chen
AI4TS
149
15
0
30 May 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Neural Information Processing Systems (NeurIPS), 2023
Yong Liu
Chenyu Li
Jianmin Wang
Mingsheng Long
AI4TS
278
179
0
30 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
Zahra Atashgahi
Mykola Pechenizkiy
Raymond N. J. Veldhuis
Decebal Constantin Mocanu
AI4TS
AI4CE
241
1
0
28 May 2023
LANISTR: Multimodal Learning from Structured and Unstructured Data
Sayna Ebrahimi
Sercan O. Arik
Yihe Dong
Tomas Pfister
236
7
0
26 May 2023
TLNets: Transformation Learning Networks for long-range time-series prediction
Wen Wang
Yang Liu
Haoqin Sun
AI4TS
223
6
0
25 May 2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Panayiotis Danassis
Shresth Verma
J. Killian
Aparna Taneja
Milind Tambe
143
6
0
22 May 2023
A Survey on Time-Series Pre-Trained Models
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Qianli Ma
Ziqiang Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
282
88
0
18 May 2023
Mlinear: Rethink the Linear Model for Time-series Forecasting
Wei Li
Xiangxu Meng
Chuhao Chen
Jianing Chen
AI4TS
270
6
0
08 May 2023
Revisiting the Encoding of Satellite Image Time Series
British Machine Vision Conference (BMVC), 2023
Xin Cai
Y. Bi
Peter Nicholl
Roy Sterritt
AI4TS
260
7
0
03 May 2023
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2023
Riccardo Ughi
Eugenio Lomurno
Matteo Matteucci
AI4TS
137
1
0
10 Apr 2023
Multi-modal learning for geospatial vegetation forecasting
Computer Vision and Pattern Recognition (CVPR), 2023
V. Benson
Claire Robin
C. Requena-Mesa
Lazaro Alonso
Nuno Carvalhais
José A. Cortés
Zhihan Gao
Nora Linscheid
M. Weynants
Markus Reichstein
249
25
0
28 Mar 2023
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting
Lars Odegaard Bentsen
N. Warakagoda
R. Stenbro
P. Engelstad
AI4TS
95
2
0
23 Mar 2023
Discovering Predictable Latent Factors for Time Series Forecasting
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jingyi Hou
Zhen Dong
Jiayu Zhou
Zhijie Liu
AI4TS
BDL
217
1
0
18 Mar 2023
Causal Temporal Graph Convolutional Neural Networks (CTGCN)
Abigail Langbridge
Fearghal O'Donncha
Amadou Ba
Fabio Lorenzi
Christopher Lohse
J. Ploennigs
GNN
206
2
0
16 Mar 2023
Effectively Modeling Time Series with Simple Discrete State Spaces
International Conference on Learning Representations (ICLR), 2023
Michael Zhang
Khaled Kamal Saab
Michael Poli
Tri Dao
Karan Goel
Christopher Ré
AI4TS
149
67
0
16 Mar 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
Chao Xue
Wen Liu
Shunxing Xie
Zhenfang Wang
Jiaxing Li
...
Shi-Yong Chen
Yibing Zhan
Jing Zhang
Chaoyue Wang
Dacheng Tao
231
2
0
01 Mar 2023
Your time series is worth a binary image: machine vision assisted deep framework for time series forecasting
Luoxiao Yang
Xinqi Fan
Zijun Zhang
AI4TS
93
3
0
28 Feb 2023
One Fits All:Power General Time Series Analysis by Pretrained LM
Neural Information Processing Systems (NeurIPS), 2023
Tian Zhou
Peisong Niu
Qingsong Wen
Liang Sun
Rong Jin
AI4TS
490
735
0
23 Feb 2023
Dynamic Grasping with a Learned Meta-Controller
Yinsen Jia
Jingxi Xu
Dinesh Jayaraman
Shuran Song
247
5
0
16 Feb 2023
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window
Yuanpeng He
AI4TS
143
0
0
31 Jan 2023
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Anton Thielmann
René-Marcel Kruse
Thomas Kneib
Benjamin Säfken
252
23
0
27 Jan 2023
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting
Nghia Duong-Trung
Kiran Madhusudhanan
Danh Le-Phuoc
AI4TS
308
4
0
15 Dec 2022
Auxiliary Quantile Forecasting with Linear Networks
Shayan Jawed
Lars Schmidt-Thieme
AI4TS
71
0
0
05 Dec 2022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
International Conference on Learning Representations (ICLR), 2022
Yuqi Nie
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AIFin
AI4TS
705
2,510
0
27 Nov 2022
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities
Alexander C. DeRieux
Walid Saad
W. Zuo
R. Budiarto
M. D. Koerniawan
D. Novitasari
111
1
0
18 Nov 2022
TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting
Hyunwoo Lee
Chunggi Lee
H. Lim
Sungahn Ko
AI4TS
185
10
0
26 Oct 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts
Rui Wang
Yihe Dong
Sercan O. Arik
Rose Yu
AI4TS
329
35
0
07 Oct 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
International Conference on Learning Representations (ICLR), 2022
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
AI4TS
AIFin
447
1,513
0
05 Oct 2022
An Attention Free Long Short-Term Memory for Time Series Forecasting
Social Science Research Network (SSRN), 2022
Hugo Inzirillo
Ludovic De Villelongue
AI4TS
72
4
0
20 Sep 2022
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics
Neural Networks (NN), 2022
Madhurima Panja
Tanujit Chakraborty
U. Kumar
Nan Liu
158
28
0
21 Jun 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices
Data mining and knowledge discovery (DMKD), 2022
Hansika Hewamalage
Klaus Ackermann
Christoph Bergmeir
AI4TS
300
142
0
21 Mar 2022
Long-Range Transformers for Dynamic Spatiotemporal Forecasting
J. E. Grigsby
Zhe Wang
Nam Nguyen
Yanjun Qi
AI4TS
306
116
0
24 Sep 2021
How to avoid machine learning pitfalls: a guide for academic researchers
Patterns (Patterns), 2021
M. Lones
VLM
FaML
OnRL
440
119
0
05 Aug 2021
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