TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Oct 5, 2022 · Time series analysis is of immense importance in extensive applications, such as weather forecasting, anomaly detection, and action recognition. This paper focuses on …
GitHub - thuml/TimesNet: About Code release for "TimesNet: Temporal 2D …
In this paper, we present TimesNet as a powerful foundation model for general time series analysis, which can 🏆 Achieve the consistent state-of-the-art in five main-stream tasks: Long- …
TimesNet: Unifying Time Series Analysis Through Temporal 2D-Variation ...
Jun 9, 2025 · The authors in this literature introduces a novel perspective on time series modeling by leveraging temporal 2D variations derived from multi-periodic structures.
Figure 2: 2D structure in time series. By discovering the periodicity, we can transform the original 1D time series into structured 2D tensors, which can be processed by 2D kernels conveniently.
1 Time Series Anomaly Detection TimesNet → 다중 주기성(Multi-periodicity)를 고려하여 시계열 분석을 수행한 논문 예를 들어, 기온은 하루마다도 주기성을 가지지만, 크게 보면 일년마다도 …
TimesNet：基于时间2D变换的通用时间序列分析模型完全指南
完整实现：从零用 PyTorch 构建 TimesNet 多任务应用：预测、分类、异常检测的统一框架 深度分析：与 PatchTST 、 Informer 等 SOTA 模型的对比 论文引用：Wu, H., Hu, T., Liu, Y., Zhou, …
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Oct 5, 2022 · Technically, we propose the TimesNet with TimesBlock as a task-general backbone for time series analysis. TimesBlock can discover the multi-periodicity adaptively and extract …
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Oct 5, 2022 · This paper focuses on temporal variation modeling, which is the common key problem of extensive analysis tasks. Previous methods attempt to accomplish this directly from …
TimesNet: Temporal 2D-Variation Modeling for General Time Series...
Feb 1, 2023 · Based on the multi-periodicity, we analyze the intraperiod- and interperiod-variations in 2D space and propose the TimesNet as a task-general model, which achieves …
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
In-Person Poster presentation / poster accept TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis haixu wu · Tengge Hu · Yong Liu · Hang Zhou · Jianmin Wang · …
intraperiod- and interperiod-variations. To tackle the limitations of 1D time series in representation capability, we extend the analysis of temporal variations into the 2D space by transforming the …
dblp: TimesNet: Temporal 2D-Variation Modeling for General Time Series ...
Jul 4, 2025 · Bibliographic details on TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.
About Code release for "TimesNet: Temporal 2D-Variation Modeling …
In this paper, we present TimesNet as a powerful foundation model for general time series analysis, which can 🏆 Achieve the consistent state-of-the-art in five main-stream tasks: Long- …
variations to be easily modeled by 2D kernels. Technically, we propose the TimesNet with TimesBlock as a . ask-general backbone for time series analysis. TimesBlock can discover the...
TimesNet/README.md at main · thuml/TimesNet · GitHub
Based on the observation of multi-periodicity in time series, we present the TimesNet to **transform the origianl 1D-timeseries into 2D Space**, which can unfiy the intraperiod- and …