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TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
v1v2v3 (latest)

TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations

17 April 2025
Yihang Lu
Yangyang Xu
Qitao Qing
Xianwei Meng
    AI4TS
ArXiv (abs)PDFHTMLGithub (17★)

Papers citing "TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations"

19 / 19 papers shown
ReNF: Rethinking the Design Space of Neural Long-Term Time Series Forecasters
ReNF: Rethinking the Design Space of Neural Long-Term Time Series Forecasters
Yihang Lu
Xianwei Meng
Enhong Chen
AI4TSBDL
376
0
0
30 Sep 2025
Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks
Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks
Abanoub M. Girgis
Álvaro Valcarce
Mehdi Bennis
AI4TS
295
7
0
07 Jun 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
TimeMixer: Decomposable Multiscale Mixing for Time Series ForecastingInternational Conference on Learning Representations (ICLR), 2024
Shiyu Wang
Haixu Wu
Xiaoming Shi
Tengge Hu
Huakun Luo
Lintao Ma
James Y. Zhang
Jun-ping Zhou
AI4TS
457
523
0
23 May 2024
Revisiting Feature Prediction for Learning Visual Representations from
  Video
Revisiting Feature Prediction for Learning Visual Representations from Video
Adrien Bardes
Q. Garrido
Jean Ponce
Xinlei Chen
Michael G. Rabbat
Yann LeCun
Mahmoud Assran
Nicolas Ballas
MDEVLM
414
234
0
15 Feb 2024
Exploring Progress in Multivariate Time Series Forecasting:
  Comprehensive Benchmarking and Heterogeneity Analysis
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity AnalysisIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Zezhi Shao
Fei Wang
Yongjun Xu
Wei Wei
Chengqing Yu
...
Guangyin Jin
Xin Cao
Gao Cong
Christian S. Jensen
Xueqi Cheng
AI4TS
306
208
0
09 Oct 2023
Self-Supervised Learning from Images with a Joint-Embedding Predictive
  Architecture
Self-Supervised Learning from Images with a Joint-Embedding Predictive ArchitectureComputer Vision and Pattern Recognition (CVPR), 2023
Mahmoud Assran
Quentin Duval
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Yann LeCun
Nicolas Ballas
SSLAI4TSMDE
576
725
0
19 Jan 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
A Time Series is Worth 64 Words: Long-term Forecasting with TransformersInternational Conference on Learning Representations (ICLR), 2022
Yuqi Nie
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AIFinAI4TS
1.2K
3,150
0
27 Nov 2022
What Language Model Architecture and Pretraining Objective Work Best for
  Zero-Shot Generalization?
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?International Conference on Machine Learning (ICML), 2022
Thomas Wang
Adam Roberts
Daniel Hesslow
Teven Le Scao
Hyung Won Chung
Iz Beltagy
Julien Launay
Colin Raffel
327
225
0
12 Apr 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term
  Series Forecasting
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series ForecastingInternational Conference on Machine Learning (ICML), 2022
Tian Zhou
Ziqing Ma
Qingsong Wen
Qingsong Wen
Liang Sun
Rong Jin
AI4TS
719
2,791
0
30 Jan 2022
Autoformer: Decomposition Transformers with Auto-Correlation for
  Long-Term Series Forecasting
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
612
4,286
0
24 Jun 2021
SCINet: Time Series Modeling and Forecasting with Sample Convolution and
  Interaction
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
Minhao Liu
Ailing Zeng
Mu-Hwa Chen
Zhijian Xu
Qiuxia Lai
Lingna Ma
Qiang Xu
AI4TS
305
731
0
17 Jun 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on
  ImageNet
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNetIEEE International Conference on Computer Vision (ICCV), 2021
Li-xin Yuan
Yunpeng Chen
Tao Wang
Weihao Yu
Yujun Shi
Zihang Jiang
Francis E. H. Tay
Jiashi Feng
Shuicheng Yan
ViT
736
2,435
0
28 Jan 2021
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
1.3K
5,972
0
23 Apr 2020
Financial Time Series Forecasting with Deep Learning : A Systematic
  Literature Review: 2005-2019
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019Applied Soft Computing (Appl Soft Comput), 2019
Omer Berat Sezer
M. U. Gudelek
A. Ozbayoglu
AI4TS
317
1,296
0
29 Nov 2019
An Alternative Probabilistic Interpretation of the Huber Loss
An Alternative Probabilistic Interpretation of the Huber LossComputer Vision and Pattern Recognition (CVPR), 2019
Gregory P. Meyer
504
156
0
05 Nov 2019
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecastingInternational Conference on Learning Representations (ICLR), 2019
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
867
1,513
0
24 May 2019
Practical Lossless Compression with Latent Variables using Bits Back
  Coding
Practical Lossless Compression with Latent Variables using Bits Back Coding
James Townsend
Thomas Bird
David Barber
DRL
299
155
0
15 Jan 2019
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
8.3K
172,602
0
12 Jun 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural
  Networks
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai
Wei-Cheng Chang
Yiming Yang
Hanxiao Liu
BDLAI4TS
854
2,251
0
21 Mar 2017
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