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From Similarity to Superiority: Channel Clustering for Time Series
  Forecasting

From Similarity to Superiority: Channel Clustering for Time Series Forecasting

31 March 2024
Jialin Chen
J. E. Lenssen
Aosong Feng
Weihua Hu
Matthias Fey
Leandros Tassiulas
J. Leskovec
Rex Ying
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"

21 / 21 papers shown
Title
Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting
Adapformer: Adaptive Channel Management for Multivariate Time Series ForecastingNeural Networks (NN), 2025
Yuchen Luo
Xinyu Li
Liuhua Peng
Mingming Gong
AI4TS
75
0
0
18 Nov 2025
Selective Learning for Deep Time Series Forecasting
Selective Learning for Deep Time Series Forecasting
Yisong Fu
Zezhi Shao
Chengqing Yu
Yujie Li
Zhulin An
Qi Wang
Yongjun Xu
Fei Wang
AI4TS
104
0
0
29 Oct 2025
DBLoss: Decomposition-based Loss Function for Time Series Forecasting
DBLoss: Decomposition-based Loss Function for Time Series Forecasting
Xiangfei Qiu
X. Wu
Hanyin Cheng
Xvyuan Liu
Chenjuan Guo
Jilin Hu
B. Yang
AI4TS
148
7
0
27 Oct 2025
CATS-Linear: Classification Auxiliary Linear Model for Time Series Forecasting
CATS-Linear: Classification Auxiliary Linear Model for Time Series Forecasting
Zipo Jibao
Yingyi Fu
Xinyang Chen
Guoting Chen
AI4TS
80
0
0
09 Oct 2025
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
Haotian Gao
Zheng Dong
Jiawei Yong
Shintaro Fukushima
Kenjiro Taura
Renhe Jiang
AI4TS
86
1
0
06 Oct 2025
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
Ziheng Peng
Shijie Ren
Xinyue Gu
Linxiao Yang
Xiting Wang
Liang Sun
AI4TS
217
0
0
27 Sep 2025
Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
Hunjae Lee
Corey Clark
52
0
0
23 Sep 2025
Dynamic Relational Priming Improves Transformer in Multivariate Time Series
Dynamic Relational Priming Improves Transformer in Multivariate Time Series
Hunjae Lee
Corey Clark
AI4TS
76
0
0
15 Sep 2025
HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis
HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis
Xiao Wang
Hao Si
Fan Zhang
Xiaoya Zhou
Dengdi Sun
Wanli Lyu
Qingquan Yang
Jin Tang
AI4TS
322
1
0
04 Aug 2025
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
Juntong Ni
Shiyu Wang
Zewen Liu
Xiaoming Shi
Xinyue Zhong
Zhou Ye
Wei Jin
AI4TS
296
1
0
20 Jul 2025
Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
Zijian Wang
Peng Tao
Luonan Chen
AI4TSAI4CE
138
1
0
13 Jun 2025
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
Jinkwan Jang
Hyungjin Park
Jinmyeong Choi
Taesup Kim
AI4TS
154
0
0
10 Jun 2025
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
Jialin Chen
Ziyu Zhao
Gaukhar Nurbek
Aosong Feng
Ali Maatouk
Leandros Tassiulas
Yifeng Gao
Rex Ying
AI4TS
283
3
0
10 Jun 2025
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Accurate and Efficient Multivariate Time Series Forecasting via Offline ClusteringIEEE International Conference on Data Engineering (ICDE), 2025
Yiming Niu
Jinliang Deng
Lulu Zhang
Zimu Zhou
Yongxin Tong
AI4TS
342
0
0
09 May 2025
Patch-wise Structural Loss for Time Series Forecasting
Patch-wise Structural Loss for Time Series Forecasting
Dilfira Kudrat
Zongxia Xie
Yanru Sun
Tianyu Jia
Q. Hu
AI4TS
916
13
0
02 Mar 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
308
3
0
24 Feb 2025
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical ImagesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Chen Liu
Ke Xu
Liangbo L. Shen
Guillaume Huguet
Zilong Wang
...
Danilo Bzdok
Jay Stewart
Jay C. Wang
L. V. Priore
Smita Krishnaswamy
397
0
0
08 Jan 2025
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
909
1
0
22 Oct 2024
Channel-aware Contrastive Conditional Diffusion for Multivariate
  Probabilistic Time Series Forecasting
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting
Siyang Li
Yize Chen
Hui Xiong
DiffMAI4TS
183
1
0
03 Oct 2024
SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting
SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting
Zixuan Weng
Jindong Han
Wenzhao Jiang
Hao Liu
AI4TSMamba
190
2
0
22 Aug 2024
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data
  in Buildings
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in BuildingsIEEE pervasive computing (PC), 2024
Xiachong Lin
Arian Prabowo
Imran Razzak
Hao Xue
Matthew Amos
Sam Behrens
Stephen White
Flora D. Salim
115
1
0
23 May 2024
1