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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
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph
Shule Hao
Junpeng Bao
Chuncheng Lu
AI4TS
KELM
41
0
0
10 Mar 2025
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
Kanghui Ning
Zijie Pan
Yu Liu
Yushan Jiang
J. Zhang
Kashif Rasul
Anderson Schneider
Lintao Ma
Yuriy Nevmyvaka
Dongjin Song
VLM
AI4TS
49
1
0
06 Mar 2025
TimeFound: A Foundation Model for Time Series Forecasting
Congxi Xiao
Jingbo Zhou
Yixiong Xiao
Xinjiang Lu
Le Zhang
Hui Xiong
AI4TS
46
0
0
06 Mar 2025
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs
Haoran Fan
Bin Li
Yixuan Weng
Shoujun Zhou
AI4TS
55
0
0
05 Mar 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
Hao Li
Yu Huang
Chang Xu
Viktor Schlegel
Ren-He Jiang
R. Batista-Navarro
Goran Nenadic
Jiang Bian
DiffM
AI4CE
76
3
0
04 Mar 2025
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest
Yuhan Jing
J. Wang
Lei Zhang
Haifeng Sun
Bo He
Zirui Zhuang
Chengsen Wang
Q. Qi
Jianxin Liao
AI4TS
48
0
0
03 Mar 2025
Patch-wise Structural Loss for Time Series Forecasting
Dilfira Kudrat
Zongxia Xie
Yanru Sun
Tianyu Jia
Q. Hu
AI4TS
44
0
0
02 Mar 2025
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
Haoran Zhang
Yong Liu
Yunzhong Qiu
Haixuan Liu
Zhongyi Pei
Jianmin Wang
Mingsheng Long
AI4TS
32
0
0
28 Feb 2025
Are foundation models useful feature extractors for electroencephalography analysis?
Are foundation models useful feature extractors for electroencephalography analysis?
Özgün Turgut
Felix S. Bott
Markus Ploner
Daniel Rueckert
33
0
0
28 Feb 2025
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
Xin Zhang
Liangxiu Han
Stephen White
Saad Hassan
Philip A Kalra
James Ritchie
Carl Diver
Jennie Shorley
70
1
0
24 Feb 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
Raeid Saqur
Anastasis Kratsios
Florian Krach
Yannick Limmer
Jacob-Junqi Tian
John Willes
Blanka Horvath
Frank Rudzicz
MoE
43
0
0
24 Feb 2025
Atten-Transformer: A Deep Learning Framework for User App Usage Prediction
Longlong Li
Cunquan Qu
Guanghui Wang
HAI
AI4TS
36
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
X. Zhang
J. Liu
AI4TS
61
0
0
24 Feb 2025
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
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
Juntong Ni
Z. Liu
Shiyu Wang
Ming Jin
Wei-dong Jin
AI4TS
33
1
0
24 Feb 2025
PPGF: Probability Pattern-Guided Time Series Forecasting
PPGF: Probability Pattern-Guided Time Series Forecasting
Yanru Sun
Zongxia Xie
Haoyu Xing
Hualong Yu
Q. Hu
AI4TS
41
0
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
58
1
0
16 Feb 2025
Harnessing Vision Models for Time Series Analysis: A Survey
Harnessing Vision Models for Time Series Analysis: A Survey
Jingchao Ni
Ziming Zhao
ChengAo Shen
Hanghang Tong
Dongjin Song
Wei Cheng
Dongsheng Luo
Haifeng Chen
AI4TS
77
1
0
13 Feb 2025
Investigating Compositional Reasoning in Time Series Foundation Models
Willa Potosnak
Cristian Challu
Mononito Goswami
Kin G. Olivares
Michał Wiliński
Nina Żukowska
Artur Dubrawski
ReLM
AI4TS
LRM
46
0
0
09 Feb 2025
Aero-LLM: A Distributed Framework for Secure UAV Communication and Intelligent Decision-Making
Aero-LLM: A Distributed Framework for Secure UAV Communication and Intelligent Decision-Making
Balakrishnan Dharmalingam
Rajdeep Mukherjee
Brett Piggott
Guohuan Feng
Anyi Liu
32
1
0
05 Feb 2025
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization
Yoontae Hwang
Yaxuan Kong
Stefan Zohren
Yongjae Lee
AIFin
45
2
0
02 Feb 2025
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection
Yihe Wang
Nan Huang
Nadia Mammone
Marco Cecchi
Xiang Zhang
65
0
0
02 Feb 2025
TimeHF: Billion-Scale Time Series Models Guided by Human Feedback
Yongzhi Qi
Hao Hu
Dazhou Lei
Jianshen Zhang
Zhengxin Shi
Yulin Huang
Zhengyu Chen
Xiaoming Lin
Zuo-jun Shen
AI4TS
AI4CE
39
1
0
28 Jan 2025
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting
Wenxuan Xie
Fanpu Cao
AI4TS
34
1
0
28 Jan 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
65
0
0
08 Jan 2025
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
Yunshi Wen
Tengfei Ma
Tsui-Wei Weng
Lam M. Nguyen
A. Julius
AI4TS
37
0
0
08 Jan 2025
Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features
Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features
Haixu Liu
Penghao Jiang
Zerui Tao
Muyan Wan
Qiuzhuang Sun
28
1
0
07 Jan 2025
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
Jingjing Xu
Caesar Wu
Yuan-Fang Li
Grégoire Danoy
Pascal Bouvry
TPM
AI4TS
35
0
0
03 Jan 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Sabera Talukder
Yisong Yue
Georgia Gkioxari
AI4TS
40
12
0
03 Jan 2025
DRDM: A Disentangled Representations Diffusion Model for Synthesizing
  Realistic Person Images
DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images
Enbo Huang
Yuan Zhang
Faliang Huang
Guangyu Zhang
Y. Liu
DiffM
37
0
0
25 Dec 2024
EasyTime: Time Series Forecasting Made Easy
EasyTime: Time Series Forecasting Made Easy
Xiangfei Qiu
Xiuwen Li
Ruiyang Pang
Zhicheng Pan
X. Wu
...
Chengcheng Yang
Chenjuan Guo
Aoying Zhou
Christian S. Jensen
Bin Yang
AI4TS
55
14
0
23 Dec 2024
Breaking the Context Bottleneck on Long Time Series Forecasting
Breaking the Context Bottleneck on Long Time Series Forecasting
Chao Ma
Yikai Hou
Xiang Li
Yinggang Sun
Haining Yu
Zhou Fang
Jiaxing Qu
AI4TS
65
0
0
21 Dec 2024
GG-SSMs: Graph-Generating State Space Models
GG-SSMs: Graph-Generating State Space Models
Nikola Zubić
Davide Scaramuzza
Mamba
86
1
0
17 Dec 2024
UTSD: Unified Time Series Diffusion Model
UTSD: Unified Time Series Diffusion Model
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
69
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
87
0
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
59
0
0
01 Dec 2024
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal
  Domains for Time Series Forecasting
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting
Yangyang Shi
Qianqian Ren
Yong Liu
Jianguo Sun
AI4TS
62
0
0
26 Nov 2024
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
Yuang Zhao
Tianyu Li
Jiadong Chen
Shenrong Ye
Fuxin Jiang
Tieying Zhang
Xiaofeng Gao
AI4TS
82
0
0
26 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
21
1
0
07 Nov 2024
A Mamba Foundation Model for Time Series Forecasting
A Mamba Foundation Model for Time Series Forecasting
Haoyu Ma
Yushu Chen
Wenlai Zhao
Jinzhe Yang
Yingsheng Ji
Xinghua Xu
Xiaozhu Liu
Hao Jing
Shengzhuo Liu
Guangwen Yang
AI4TS
Mamba
39
1
0
05 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
44
8
0
03 Nov 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
Yanlong Wang
J. Xu
Fei Ma
Shao-Lun Huang
Danny Dongning Sun
Xiao-Ping Zhang
AI4TS
24
1
0
03 Nov 2024
Pedestrian Trajectory Prediction with Missing Data: Datasets,
  Imputation, and Benchmarking
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
Pranav Singh Chib
Pravendra Singh
AI4TS
35
3
0
31 Oct 2024
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series
  Forecasting
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
Zongjiang Shang
Ling Chen
Binqing Wu
Dongliang Cui
AI4TS
AI4CE
26
1
0
31 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
20
0
0
30 Oct 2024
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series
  Forecasting
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting
Aobo Liang
Y. Sun
Nadra Guizani
AI4TS
24
1
0
30 Oct 2024
Temporal Streaming Batch Principal Component Analysis for Time Series
  Classification
Temporal Streaming Batch Principal Component Analysis for Time Series Classification
Enshuo Yan
Huachuan Wang
Weihao Xia
25
0
0
28 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
43
0
0
28 Oct 2024
Deconfounding Time Series Forecasting
Deconfounding Time Series Forecasting
Wentao Gao
Feiyu Yang
Mengze Hong
Xiaojing Du
Zechen Hu
Xiongren Chen
Ziqi Xu
CML
BDL
AI4TS
13
0
0
27 Oct 2024
Enhancing Exchange Rate Forecasting with Explainable Deep Learning
  Models
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models
Shuchen Meng
Andi Chen
Chihang Wang
Mengyao Zheng
Fangyu Wu
Xupeng Chen
Haowei Ni
Panfeng Li
46
2
0
25 Oct 2024
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