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TimesNet: Temporal 2D-Variation Modeling for General Time Series
  Analysis

TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

5 October 2022
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
    AI4TS
    AIFin
ArXivPDFHTML

Papers citing "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis"

50 / 344 papers shown
Title
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
16
4
0
24 Oct 2024
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar
  Memories
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
Maurice Kraus
Felix Divo
D. Dhami
Kristian Kersting
AI4TS
20
2
0
22 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
35
0
0
22 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
38
8
0
21 Oct 2024
UniMTS: Unified Pre-training for Motion Time Series
UniMTS: Unified Pre-training for Motion Time Series
Xiyuan Zhang
Diyan Teng
Ranak Roy Chowdhury
Shuheng Li
Dezhi Hong
Rajesh K. Gupta
Jingbo Shang
AI4TS
16
3
0
18 Oct 2024
ArrivalNet: Predicting City-wide Bus/Tram Arrival Time with
  Two-dimensional Temporal Variation Modeling
ArrivalNet: Predicting City-wide Bus/Tram Arrival Time with Two-dimensional Temporal Variation Modeling
Zirui Li
Patrick Wolf
Meng Wang
AI4TS
16
0
0
17 Oct 2024
Expand and Compress: Exploring Tuning Principles for Continual
  Spatio-Temporal Graph Forecasting
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
Wei Chen
Yuxuan Liang
AI4TS
21
0
0
16 Oct 2024
Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger
  Flow Prediction of Subway Stations
Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations
Xiannan Huang
Chao Yang
Quan Yuan
AI4TS
16
0
0
16 Oct 2024
Towards Neural Scaling Laws for Time Series Foundation Models
Towards Neural Scaling Laws for Time Series Foundation Models
Qingren Yao
Chao-Han Huck Yang
Renhe Jiang
Yuxuan Liang
Ming Jin
Shirui Pan
AI4TS
AI4CE
40
6
0
16 Oct 2024
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
Xingjian Wu
Xiangfei Qiu
Zhengyu Li
Yihang Wang
Jilin Hu
Chenjuan Guo
Hui Xiong
Bin Yang
AI4TS
59
12
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
39
8
0
15 Oct 2024
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting
  Method Using Mamba
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba
Li Wu
Wenbin Pei
Jiulong Jiao
Qiang Zhang
Mamba
AI4TS
14
2
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
17
11
0
14 Oct 2024
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition
Zechen Li
Shohreh Deldari
Linyao Chen
Hao Xue
Flora D. Salim
34
6
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
23
1
0
13 Oct 2024
Generalizable autoregressive modeling of time series through functional
  narratives
Generalizable autoregressive modeling of time series through functional narratives
Ran Liu
Wenrui Ma
Ellen L. Zippi
Hadi Pouransari
Jingyun Xiao
...
Behrooz Mahasseni
Juri Minxha
Erdrin Azemi
Eva L. Dyer
Ali Moin
AI4TS
25
0
0
10 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
20
1
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
25
0
0
08 Oct 2024
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional
  Feature Mapping
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
Yamin Li
Ange Lou
Ziyuan Xu
Shengchao Zhang
Shiyu Wang
Dario J. Englot
Soheil Kolouri
Daniel Moyer
Roza G. Bayrak
Catie Chang
16
3
0
07 Oct 2024
Neural Fourier Modelling: A Highly Compact Approach to Time-Series
  Analysis
Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis
Minjung Kim
Yusuke Hioka
Michael Witbrock
AI4TS
16
0
0
07 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
18
1
0
06 Oct 2024
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage
  Framework for Spatiotemporal Data Reconstruction
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction
Ziyu Sun
Haoyang Su
E. Wang
Funing Yang
Yongjian Yang
Wenbin Liu
AI4TS
DiffM
24
0
0
05 Oct 2024
Multi-Step Time Series Inference Agent for Reasoning and Automated Task Execution
Multi-Step Time Series Inference Agent for Reasoning and Automated Task Execution
Wen Ye
Yizhou Zhang
Wei Yang
Lumingyuan Tang
Defu Cao
Jie Cai
Yan Liu
BDL
CoGe
AI4TS
24
2
0
05 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
16
0
0
04 Oct 2024
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
Xiao Lin
Zhining Liu
Dongqi Fu
Ruizhong Qiu
Hanghang Tong
AAML
AI4TS
39
0
0
03 Oct 2024
TrajGPT: Irregular Time-Series Representation Learning for Health
  Trajectory Analysis
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis
Ziyang Song
Qingcheng Lu
He Zhu
David L. Buckeridge
Yue Li
AI4TS
25
0
0
03 Oct 2024
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting
  with 0.1K Parameters
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters
Aitian Ma
Dongsheng Luo
Mo Sha
AI4TS
25
1
0
02 Oct 2024
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate
  Time Series Forecasting
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting
Aitian Ma
Dongsheng Luo
Mo Sha
AI4TS
18
0
0
02 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
16
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
29
0
0
30 Sep 2024
A SSM is Polymerized from Multivariate Time Series
A SSM is Polymerized from Multivariate Time Series
Haixiang Wu
AI4TS
18
0
0
30 Sep 2024
Evolving Multi-Scale Normalization for Time Series Forecasting under
  Distribution Shifts
Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts
Dalin Qin
Yehui Li
Weiqi Chen
Zhaoyang Zhu
Qingsong Wen
Liang Sun
Pierre Pinson
Yi Wang
AI4TS
11
0
0
29 Sep 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A
  Global-Local Fusion Perspective
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
Chengsen Wang
Qi Qi
Jingyu Wang
Haifeng Sun
Zirui Zhuang
Jinming Wu
Jianxin Liao
AI4TS
13
8
0
27 Sep 2024
Treating Brain-inspired Memories as Priors for Diffusion Model to
  Forecast Multivariate Time Series
Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series
Muyao Wang
Wenchao Chen
Zhibin Duan
Bo Chen
AI4TS
DiffM
27
0
0
27 Sep 2024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic
  Patterns
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Shengsheng Lin
Weiwei Lin
Xinyi Hu
Wentai Wu
Ruichao Mo
Haocheng Zhong
AI4TS
12
13
0
27 Sep 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series
  Forecasting
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
Yuxin Jia
Youfang Lin
Jing Yu
Shuo Wang
Tianhao Liu
Huaiyu Wan
AI4TS
22
1
0
26 Sep 2024
Towards Universal Large-Scale Foundational Model for Natural Gas Demand
  Forecasting
Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting
Xinxing Zhou
Jiaqi Ye
Shubao Zhao
Ming Jin
Zhaoxiang Hou
Chengyi Yang
Zengxiang Li
Yanlong Wen
Xiaojie Yuan
AI4TS
21
0
0
24 Sep 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
X. Shi
Shiyu Wang
Yuqi Nie
Dianqi Li
Zhou Ye
Qingsong Wen
Ming Jin
AI4TS
34
24
0
24 Sep 2024
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral
  Attention Scaling
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
Enze Shi
Kui Zhao
Qilong Yuan
Jiaqi Wang
Huawen Hu
Sigang Yu
Shu Zhang
14
3
0
19 Sep 2024
Implicit Reasoning in Deep Time Series Forecasting
Implicit Reasoning in Deep Time Series Forecasting
Willa Potosnak
Cristian Challu
Mononito Goswami
Michał Wiliński
Nina Żukowska
Artur Dubrawski
ReLM
AI4TS
LRM
35
2
0
17 Sep 2024
A Multi-scenario Attention-based Generative Model for Personalized Blood
  Pressure Time Series Forecasting
A Multi-scenario Attention-based Generative Model for Personalized Blood Pressure Time Series Forecasting
Cheng Wan
Chenjie Xie
Longfei Liu
Dan Wu
Ye Li
AI4TS
14
0
0
07 Sep 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
34
1
0
02 Sep 2024
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach
Yifei Chen
Shenghao Zhu
Zhaojie Fang
Chang Liu
Binfeng Zou
...
Fan Jia
Feiwei Qin
Jin Fan
Yong Peng
Changmiao Wang
23
1
0
29 Aug 2024
Variational Mode Decomposition and Linear Embeddings are What You Need
  For Time-Series Forecasting
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting
Hafizh Raihan Kurnia Putra
Novanto Yudistira
Tirana Noor Fatyanosa
AI4TS
16
0
0
28 Aug 2024
Evaluating Credit VIX (CDS IV) Prediction Methods with Incremental Batch
  Learning
Evaluating Credit VIX (CDS IV) Prediction Methods with Incremental Batch Learning
Robert Taylor
14
0
0
27 Aug 2024
Channel-wise Influence: Estimating Data Influence for Multivariate Time
  Series
Channel-wise Influence: Estimating Data Influence for Multivariate Time Series
Muyao Wang
Zeke Xie
Bo Chen
AI4TS
TDI
26
0
0
27 Aug 2024
Simplified Mamba with Disentangled Dependency Encoding for Long-Term
  Time Series Forecasting
Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting
Zixuan Weng
Jindong Han
Wenzhao Jiang
Hao Liu
Mamba
AI4TS
20
2
0
22 Aug 2024
Partial-Multivariate Model for Forecasting
Partial-Multivariate Model for Forecasting
Jaehoon Lee
Hankook Lee
Sungik Choi
Sungjun Cho
Moontae Lee
AI4TS
23
0
0
19 Aug 2024
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's
  Disease Assessment
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment
Yihe Wang
Nadia Mammone
Darina Petrovsky
Alexandros T. Tzallas
Francesco C. Morabito
Xiang Zhang
MedIm
24
0
0
17 Aug 2024
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