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Modeling Long- and Short-Term Temporal Patterns with Deep Neural
  Networks

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

21 March 2017
Guokun Lai
Wei-Cheng Chang
Yiming Yang
Hanxiao Liu
    BDL
    AI4TS
ArXivPDFHTML

Papers citing "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks"

50 / 594 papers shown
Title
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
Guoqi Yu
Yaoming Li
Juncheng Wang
Xiaoyu Guo
Angelica I. Aviles-Rivero
Tong Yang
Shujun Wang
AI4TS
44
0
0
24 Feb 2025
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Wenxuan Wang
K. Wu
Yujian Betterest Li
Dan Wang
Xiaotian Zhang
Jiaheng Liu
AI4TS
68
0
0
24 Feb 2025
Single-Channel EEG Tokenization Through Time-Frequency Modeling
Single-Channel EEG Tokenization Through Time-Frequency Modeling
Jathurshan Pradeepkumar
Xihao Piao
Zheng Chen
Jimeng Sun
45
1
0
22 Feb 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga
M. E. Ildiz
Samet Oymak
AI4TS
57
2
0
22 Feb 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Ruichu Cai
Haiqin Huang
Zhifang Jiang
Zijian Li
Changze Zhou
Yuequn Liu
Yuming Liu
Zhifeng Hao
AI4TS
CML
58
1
0
18 Feb 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Weilin Ruan
Siru Zhong
Haomin Wen
Yuxuan Liang
AI4TS
79
1
0
16 Feb 2025
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
Aditya Dey
Jonas Kusch
Fadi Al Machot
AI4TS
41
0
0
14 Feb 2025
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
Daojun Liang
Haixia Zhang
Dongfeng Yuan
UQCV
77
0
0
08 Jan 2025
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
Artyom Stitsyuk
Jaesik Choi
AI4TS
34
0
0
23 Dec 2024
UTSD: Unified Time Series Diffusion Model
UTSD: Unified Time Series Diffusion Model
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
82
0
0
04 Dec 2024
FSMLP: Modelling Channel Dependencies With Simplex Theory Based
  Multi-Layer Perceptions In Frequency Domain
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain
Zhengnan Li
Haoxuan Li
Hao Wang
Jun Fang
Duoyin Li Yunxiao Qin
AI4TS
182
0
0
02 Dec 2024
How Much Can Time-related Features Enhance Time Series Forecasting?
How Much Can Time-related Features Enhance Time Series Forecasting?
Chaolv Zeng
Yuan Tian
Guanjie Zheng
Yunjun Gao
AI4TS
78
3
0
02 Dec 2024
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in
  Time Series
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
64
0
0
01 Dec 2024
Epidemiology-informed Graph Neural Network for Heterogeneity-aware
  Epidemic Forecasting
Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting
Yufan Zheng
Wei Jiang
Alexander Zhou
Nguyen Quoc Viet Hung
Choujun Zhan
Tong Chen
AI4TS
75
1
0
26 Nov 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting
Tackling Data Heterogeneity in Federated Time Series Forecasting
Wei Yuan
Guanhua Ye
Xiangyu Zhao
Quoc Viet Hung Nguyen
Yang Cao
Hongzhi Yin
AI4TS
77
0
0
24 Nov 2024
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting
Shubham Tanaji Kakde
Rony Mitra
Jasashwi Mandal
Manoj Kumar Tiwari
KELM
AI4TS
33
0
0
17 Nov 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
Qiang Wu
Gechang Yao
Zhixi Feng
Shuyuan Yang
AI4TS
26
1
0
07 Nov 2024
Series-to-Series Diffusion Bridge Model
Series-to-Series Diffusion Bridge Model
Hao Yang
Zhanbo Feng
Feng Zhou
Robert C. Qiu
Zenan Ling
AI4TS
DiffM
27
0
0
07 Nov 2024
Fully Automated Correlated Time Series Forecasting in Minutes
Fully Automated Correlated Time Series Forecasting in Minutes
Xinle Wu
Xingjian Wu
Dalin Zhang
Miao Zhang
Chenjuan Guo
Bin Yang
Christian S. Jensen
AI4TS
31
4
0
06 Nov 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
Kun Yi
Jingru Fei
Qi Zhang
Hui He
Shufeng Hao
Defu Lian
Wei Fan
AI4TS
51
10
0
03 Nov 2024
FlexTSF: A Universal Forecasting Model for Time Series with Variable
  Regularities
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities
Jingge Xiao
Yile Chen
Gao Cong
Wolfgang Nejdl
Simon Gottschalk
AI4TS
36
0
0
30 Oct 2024
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate
  Time Series Forecasting
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
Zhiding Liu
Jiqian Yang
Qingyang Mao
Yuze Zhao
Mingyue Cheng
Zhi Li
Qi Liu
Enhong Chen
AI4TS
33
0
0
30 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
151
0
0
28 Oct 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling
  of Short and Long Time Series
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
Ilan Naiman
Nimrod Berman
Itai Pemper
Idan Arbiv
Gal Fadlon
Omri Azencot
32
11
0
25 Oct 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting
Retrieval-Augmented Diffusion Models for Time Series Forecasting
Jingwei Liu
Ling Yang
Hongyan Li
Shenda Hong
DiffM
AI4TS
31
4
0
24 Oct 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
Guoqi Yu
Yaoming Li
Xiaoyu Guo
Dayu Wang
Zirui Liu
Shujun Wang
Tong Yang
AI4TS
135
0
0
22 Oct 2024
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
Can Chen
Gabriel Oliveira
Hossein Sharifi-Noghabi
Tristan Sylvain
AI4TS
26
1
0
21 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang
Jiawei Li
X. Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
40
9
0
21 Oct 2024
ANT: Adaptive Noise Schedule for Time Series Diffusion Models
ANT: Adaptive Noise Schedule for Time Series Diffusion Models
Seunghan Lee
Kibok Lee
Taeyoung Park
AI4TS
DiffM
38
3
0
18 Oct 2024
DiffImp: Efficient Diffusion Model for Probabilistic Time Series
  Imputation with Bidirectional Mamba Backbone
DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone
Hongfan Gao
Wangmeng Shen
Xiangfei Qiu
Ronghui Xu
Jilin Hu
Bin Yang
27
5
0
17 Oct 2024
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
Ching Chang
Chiao-Tung Chan
Wei-Yao Wang
Wen-Chih Peng
Tien-Fu Chen
AI4TS
22
0
0
16 Oct 2024
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for
  Time Series Forecasting
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting
Zhe Li
Xiangfei Qiu
Peng Chen
Yihang Wang
Hanyin Cheng
...
Chenjuan Guo
Aoying Zhou
Qingsong Wen
Christian S. Jensen
Bin Yang
AI4TS
62
8
0
15 Oct 2024
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture
  of Experts
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Xu Liu
Juncheng Liu
Gerald Woo
Taha Aksu
Yuxuan Liang
Roger Zimmermann
Chenghao Liu
Silvio Savarese
Caiming Xiong
Doyen Sahoo
AI4TS
33
11
0
14 Oct 2024
Learning Pattern-Specific Experts for Time Series Forecasting Under
  Patch-level Distribution Shift
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
Yanru Sun
Zongxia Xie
Emadeldeen Eldele
Dongyue Chen
Q. Hu
Min-man Wu
AI4TS
28
1
0
13 Oct 2024
Multimodal Physical Activity Forecasting in Free-Living Clinical
  Settings: Hunting Opportunities for Just-in-Time Interventions
Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions
Abdullah Mamun
Krista S. Leonard
Megan E. Petrov
Matthew P. Buman
Hassan Ghasemzadeh
25
1
0
12 Oct 2024
Towards Generalisable Time Series Understanding Across Domains
Towards Generalisable Time Series Understanding Across Domains
Özgün Turgut
Philip Muller
M. Menten
Daniel Rueckert
AI4TS
51
1
0
09 Oct 2024
Task-oriented Time Series Imputation Evaluation via Generalized
  Representers
Task-oriented Time Series Imputation Evaluation via Generalized Representers
Zhixian Wang
Linxiao Yang
Liang Sun
Qingsong Wen
Yi Wang
AI4TS
31
0
0
09 Oct 2024
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time
  Series Classification
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification
Xavier Mootoo
Alan A. Díaz-Montiel
Milad Lankarany
Hina Tabassum
AI4TS
30
0
0
08 Oct 2024
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
Yong Liu
Guo Qin
Xiangdong Huang
Jianmin Wang
Mingsheng Long
AI4TS
29
6
0
07 Oct 2024
Automated Detection of Defects on Metal Surfaces using Vision
  Transformers
Automated Detection of Defects on Metal Surfaces using Vision Transformers
Toqa Alaa
Mostafa Kotb
Arwa Zakaria
Mariam Diab
Walid Gomaa
23
1
0
06 Oct 2024
Metadata Matters for Time Series: Informative Forecasting with
  Transformers
Metadata Matters for Time Series: Informative Forecasting with Transformers
Jiaxiang Dong
Haixu Wu
Yuxuan Wang
Li Zhang
Jianmin Wang
Mingsheng Long
AI4TS
29
0
0
04 Oct 2024
Local Attention Mechanism: Boosting the Transformer Architecture for
  Long-Sequence Time Series Forecasting
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
Ignacio Aguilera-Martos
Andrés Herrera-Poyatos
Julián Luengo
Francisco Herrera
AI4TS
33
0
0
04 Oct 2024
Oscillatory State-Space Models
Oscillatory State-Space Models
T. Konstantin Rusch
Daniela Rus
AI4TS
144
5
0
04 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Marcel Kollovieh
Marten Lienen
David Lüdke
Leo Schwinn
Stephan Günnemann
AI4TS
BDL
DiffM
45
4
0
03 Oct 2024
FAN: Fourier Analysis Networks
FAN: Fourier Analysis Networks
Yihong Dong
Ge Li
Yongding Tao
Xue Jiang
Kechi Zhang
Jia Li
Jing Su
Jing Su
Jun Zhang
Jingjing Xu
AI4TS
21
4
0
03 Oct 2024
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices
Yuka Hashimoto
Tomoharu Iwata
28
0
0
03 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Gaurav Patel
Christopher Sandino
Behrooz Mahasseni
Ellen L. Zippi
Erdrin Azemi
Ali Moin
Juri Minxha
TTA
AI4TS
50
3
0
03 Oct 2024
FredNormer: Frequency Domain Normalization for Non-stationary Time
  Series Forecasting
FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting
Xihao Piao
Zheng Chen
Yushun Dong
Yasuko Matsubara
Yasushi Sakurai
OOD
AI4TS
26
0
0
02 Oct 2024
Frequency Adaptive Normalization For Non-stationary Time Series
  Forecasting
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
Weiwei Ye
Songgaojun Deng
Qiaosha Zou
Ning Gui
AI4TS
36
8
0
30 Sep 2024
A SSM is Polymerized from Multivariate Time Series
A SSM is Polymerized from Multivariate Time Series
Haixiang Wu
AI4TS
23
0
0
30 Sep 2024
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