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

5 October 2022

Yong Liu

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

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Title
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models Haotian Si Changhua Pei Hang Cui Jingwen Yang Yongqian Sun ... Haiming Zhang Jing Han Dan Pei Jianhui Li Gaogang Xie AI4TS 6 6 0 16 Feb 2024
Can Transformers Predict Vibrations? Fusataka Kuniyoshi Yoshihide Sawada 14 0 0 16 Feb 2024
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer Md Kowsher Abdul Rafae Khan Jia Xu 13 0 0 14 Feb 2024
Bidirectional Generative Pre-training for Improving Time Series Representation Learning Ziyang Song Qincheng Lu He Zhu Yue Li AI4TS 14 3 0 14 Feb 2024
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction Cheng Feng Long Huang Denis Krompass AI4TS 8 5 0 12 Feb 2024
Attention as Robust Representation for Time Series Forecasting Peisong Niu Tian Zhou Xue Wang Liang Sun Rong Jin AI4TS 11 4 0 08 Feb 2024
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning Yuxuan Bian Xu Ju Jiangtong Li Zhijian Xu Dawei Cheng Qiang Xu AI4TS KELM 17 19 0 07 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski AIFin AI4TS 66 107 0 06 Feb 2024
Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang Wenjie Du Wei Cao Keli Zhang Wenjia Wang Yuxuan Liang Qingsong Wen Yuxuan Liang Qingsong Wen AI4TS BDL SyDa 32 35 0 06 Feb 2024
Empowering Time Series Analysis with Large Language Models: A Survey Yushan Jiang Zijie Pan Xikun Zhang Sahil Garg Anderson Schneider Yuriy Nevmyvaka Dongjin Song AI4TS AIFin 81 46 0 05 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 107 152 0 04 Feb 2024
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling Jiaxiang Dong Haixu Wu Yuxuan Wang Yunzhong Qiu Li Zhang Jianmin Wang Mingsheng Long AI4TS 11 13 0 04 Feb 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 18 21 0 04 Feb 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models Yong Liu Haoran Zhang Chenyu Li Xiangdong Huang Jianmin Wang Mingsheng Long AIFin AI4TS AI4CE 21 47 0 04 Feb 2024
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals Daojun Liang Haixia Zhang Dongfeng Yuan Bingzheng Zhang Minggao Zhang AI4TS 11 4 0 04 Feb 2024
FreDF: Learning to Forecast in the Frequency Domain Hao Wang Licheng Pan Zhichao Chen Degui Yang Sen Zhang Yifei Yang Xinggao Liu Haoxuan Li Dacheng Tao AI4TS 54 12 0 04 Feb 2024
Self-Supervised Contrastive Learning for Long-term Forecasting Junwoo Park Daehoon Gwak Jaegul Choo Edward Choi AI4TS 18 1 0 03 Feb 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks Changze Lv Yansen Wang Dongqi Han Xiaoqing Zheng Xuanjing Huang Dongsheng Li AI4TS TPM 19 4 0 02 Feb 2024
Rank Supervised Contrastive Learning for Time Series Classification Qianying Ren Dongsheng Luo Dongjin Song AI4TS 13 2 0 31 Jan 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators Lifan Zhao Yanyan Shen AI4TS AIFin 15 12 0 31 Jan 2024
Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction Weibin Liao Yinghao Zhu Zixiang Wang Xu Chu Yasha Wang Liantao Ma Yasha Wang Liantao Ma 19 0 0 30 Jan 2024
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection Chen Liu Shibo He Qihang Zhou Shizhong Li Wenchao Meng AI4TS 13 15 0 26 Jan 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting Jinliang Deng Feiyang Ye Du Yin Xuan Song Ivor W. Tsang Hui Xiong AI4TS 22 1 0 22 Jan 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection Zhijie Zhong Zhiwen Yu Yiyuan Yang Weizheng Wang Kaixiang Yang 15 5 0 18 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 28 19 0 17 Jan 2024
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting Shubao Zhao Ming Jin Zhaoxiang Hou Che-Sheng Yang Zengxiang Li Qingsong Wen Yi Wang 11 2 0 10 Jan 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Vijay Ekambaram Arindam Jati Pankaj Dayama Sumanta Mukherjee Nam H. Nguyen Wesley M. Gifford Chandra Reddy Jayant Kalagnanam AI4TS VLM 17 15 0 08 Jan 2024
Universal Time-Series Representation Learning: A Survey Patara Trirat Yooju Shin Junhyeok Kang Youngeun Nam Jihye Na Minyoung Bae Joeun Kim Byunghyun Kim Jae-Gil Lee AI4TS 65 14 0 08 Jan 2024
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning Cheng Liang Donghua Yang Zhiyu Liang Hongzhi Wang Zheng Liang Xiyang Zhang Jianfeng Huang AI4TS 45 1 0 09 Dec 2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 24 1 0 05 Dec 2023
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation Tong Nie Guoyang Qin Wei Ma Yuewen Mei Jiangming Sun AI4TS AI4CE 8 22 0 04 Dec 2023
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach Jinguo Cheng Ke Li Yuxuan Liang Lijun Sun Junchi Yan Yuankai Wu AI4TS 11 2 0 04 Dec 2023
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting Linfeng Du Ji Xin Alex Labach S. Zuberi M. Volkovs Rahul G. Krishnan AI4TS 11 0 0 30 Nov 2023
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 65 2 0 24 Nov 2023
Trustworthy AI: Deciding What to Decide Caesar Wu Yuan-Fang Li Jian Li Jingjing Xu Pascal Bouvry 25 3 0 21 Nov 2023
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series Trang H. Tran Lam M. Nguyen Kyongmin Yeo Nam H. Nguyen Roman Vaculin AI4TS 11 0 0 21 Nov 2023
Correlated Attention in Transformers for Multivariate Time Series Quang Minh Nguyen Lam M. Nguyen Subhro Das AI4TS 21 0 0 20 Nov 2023
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss Site Mo Haoxin Wang Bixiong Li Songhai Fan Yuankai Wu Xianggen Liu AI4TS 20 9 0 19 Nov 2023
PEMS: Pre-trained Epidemic Time-series Models Harshavardhan Kamarthi B. A. Prakash AI4TS 8 2 0 14 Nov 2023
Multi-resolution Time-Series Transformer for Long-term Forecasting Yitian Zhang Liheng Ma Soumyasundar Pal Yingxue Zhang Mark J. Coates AI4TS 23 27 0 07 Nov 2023
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis Shuhan Zhong Sizhe Song Weipeng Zhuo Guanyao Li Yang Liu S.-H. Gary Chan AI4TS 13 18 0 18 Oct 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting Xu Liu Junfeng Hu Yuan N. Li Shizhe Diao Yuxuan Liang Bryan Hooi Roger Zimmermann AI4TS 14 75 0 15 Oct 2023
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection Chaocheng Yang Tingyin Wang Xuanhui Yan DiffM 8 4 0 13 Oct 2023
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 11 424 0 10 Oct 2023
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis Zezhi Shao Fei Wang Yongjun Xu Wei Wei Chengqing Yu ... Guangyin Jin Xin Cao Gao Cong Christian S. Jensen Xueqi Cheng AI4TS 18 56 0 09 Oct 2023
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting Defu Cao Furong Jia Sercan Ö. Arik Tomas Pfister Yixiang Zheng Wen Ye Yan Liu AI4TS 13 122 0 08 Oct 2023
TimeGPT-1 Azul Garza Cristian Challu Max Mergenthaler-Canseco AI4TS 19 97 0 05 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Yuxuan Liang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 27 346 0 03 Oct 2023
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting Zeying Gong Yujin Tang Junwei Liang KELM AI4TS 13 25 0 01 Oct 2023
Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees Calvin Yeung Rory Bunker Rikuhei Umemoto Keisuke Fujii 13 4 0 26 Sep 2023