Are Transformers Effective for Time Series Forecasting?

26 May 2022

Ailing Zeng

Papers citing "Are Transformers Effective for Time Series Forecasting?"

50 / 546 papers shown

Title
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis Mingyue Cheng Jiqian Yang Tingyue Pan Qi Liu Zhi Li AI4TS 39 12 0 03 Mar 2024
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling Shiyi Qi Liangjiang Wen Yiduo Li Yuanhang Yang Zhe Li Zhongwen Rao Lujia Pan Zenglin Xu AI4TS 32 1 0 01 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 38 17 0 29 Feb 2024
Predicting machine failures from multivariate time series: an industrial case study Nicolò Oreste Pinciroli Vago Francesca Forbicini Piero Fraternali AI4CE 38 7 0 27 Feb 2024
Generative Pretrained Hierarchical Transformer for Time Series Forecasting Zhiding Liu Jiqian Yang Mingyue Cheng Yucong Luo Zhi Li AI4TS 34 14 0 26 Feb 2024
Training Implicit Generative Models via an Invariant Statistical Loss José Manuel de Frutos Pablo M. Olmos M. Vázquez Joaquín Míguez SyDa GAN 38 1 0 26 Feb 2024
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations Shiyi Qi Zenglin Xu Yiduo Li Liangjiang Wen Qingsong Wen Qifan Wang Yuan Qi AI4TS AI4CE 39 0 0 25 Feb 2024
Model Compression Method for S4 with Diagonal State Space Layers using Balanced Truncation Haruka Ezoe Kazuhiro Sato 33 0 0 25 Feb 2024
Deep Coupling Network For Multivariate Time Series Forecasting Kun Yi Qi Zhang Hui He Kaize Shi Liang Hu Ning An ZhenDong Niu AI4TS 44 5 0 23 Feb 2024
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series Zhichen Lai Huan Li Dalin Zhang Yan Zhao Weizhu Qian Christian S. Jensen AI4TS 32 9 0 21 Feb 2024
Investigating the Histogram Loss in Regression Ehsan Imani Kai Luedemann Sam Scholnick-Hughes Esraa Elelimy Martha White UQCV 39 5 0 20 Feb 2024
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling Guoqi Yu Jing Zou Xiaowei Hu Angelica I. Aviles-Rivero Jing Qin Shujun Wang AI4TS 35 15 0 20 Feb 2024
Nonstationary Time Series Forecasting via Unknown Distribution Adaptation Zijian Li Ruichu Cai Zhenhui Yang Haiqin Huang Guan-Hong Chen Yifan Shen Zhengming Chen Xiangchen Song Kun Zhang OOD AI4TS 37 2 0 20 Feb 2024
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition Yuqi Jiang Yan Li Yize Chen AI4TS 35 2 0 18 Feb 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective Jiaxi Hu Yuehong Hu Wei Chen Ming Jin Shirui Pan Qingsong Wen Keli Zhang AI4TS 37 9 0 18 Feb 2024
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Yuqi Chen Kan Ren Yansen Wang Yuchen Fang Weiwei Sun Dongsheng Li AI4TS 68 29 0 16 Feb 2024
Can Transformers Predict Vibrations? Fusataka Kuniyoshi Yoshihide Sawada 27 0 0 16 Feb 2024
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data Chin-Chia Michael Yeh Yujie Fan Xin Dai Uday Singh Saini Vivian Lai ... Huiyuan Chen Yan Zheng Zhongfang Zhuang Liang Wang Wei Zhang AI4TS 26 7 0 16 Feb 2024
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention Romain Ilbert Ambroise Odonnat Vasilii Feofanov Aladin Virmaux Giuseppe Paolo Themis Palpanas I. Redko AI4TS 52 23 0 15 Feb 2024
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer Md Kowsher Abdul Rafae Khan Jia Xu 32 0 0 14 Feb 2024
Loss Shaping Constraints for Long-Term Time Series Forecasting Ignacio Hounie Javier Porras-Valenzuela Alejandro Ribeiro AI4TS 27 0 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 23 5 0 12 Feb 2024
TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation Peng Wang Xiang Wei Fangxu Hu Wenjuan Han 33 17 0 11 Feb 2024
MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network Chengzhi Liu Zheng Tao Zihong Luo Chenghao Liu AI4TS 22 3 0 08 Feb 2024
Attention as Robust Representation for Time Series Forecasting Peisong Niu Tian Zhou Xue Wang Liang Sun Rong Jin AI4TS 27 4 0 08 Feb 2024
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning Hao Wang Xu Ju Jiangtong Li Zhijian Xu Dawei Cheng Qiang Xu AI4TS KELM 38 19 0 07 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 120 170 0 04 Feb 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 35 22 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 42 50 0 04 Feb 2024
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals Daojun Liang Haixia Zhang Dongfeng Yuan Bingzheng Zhang Minggao Zhang AI4TS 21 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 65 14 0 04 Feb 2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies Hao Cheng Qingsong Wen Yang Liu Liang Sun OOD AI4TS 13 5 0 03 Feb 2024
Self-Supervised Contrastive Learning for Long-term Forecasting Junwoo Park Daehoon Gwak Jaegul Choo Edward Choi AI4TS 34 5 0 03 Feb 2024
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge Mohamed Mejri C. Amarnath Abhijit Chatterjee AI4TS 14 4 0 03 Feb 2024
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting Zhanyu Liu Guanjie Zheng Yanwei Yu AI4TS 33 5 0 01 Feb 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators Lifan Zhao Yanyan Shen AI4TS AIFin 41 13 0 31 Jan 2024
Online Algorithm for Node Feature Forecasting in Temporal Graphs Aniq Ur Rahman J. Coon 25 0 0 30 Jan 2024
Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction En Fu Yanyan Hu Kaixiang Peng Yuxin Chu 21 4 0 29 Jan 2024
Automatically Detecting Confusion and Conflict During Collaborative Learning Using Linguistic, Prosodic, and Facial Cues Yingbo Ma Yukyeong Song Mehmet Celepkolu K. Boyer Eric Wiebe Collin F. Lynch Maya Israel 34 2 0 26 Jan 2024
VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse Spatio-Temporal Meteorological Forecasting Yutong Xiong Xun Zhu Ming Wu Weiqing Li Fanbin Mo Chuang Zhang Bin Zhang AI4TS 20 1 0 26 Jan 2024
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks M. A. Ma'sum MD Rasel Sarkar Mahardhika Pratama Savitha Ramasamy S. Anavatti Lin Liu Habibullah Habibullah Ryszard Kowalczyk AI4TS 35 0 0 25 Jan 2024
Linguistic-Based Mild Cognitive Impairment Detection Using Informative Loss A. P. Fard Mohammad H. Mahoor Muath Alsuhaibani Hiroko H. Dodge 38 4 0 23 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 43 4 0 22 Jan 2024
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting Zongjiang Shang Ling Chen AI4TS 40 3 0 17 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 35 20 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 30 2 0 10 Jan 2024
Comparing Data-Driven and Mechanistic Models for Predicting Phenology in Deciduous Broadleaf Forests Christian Reimers David Hafezi Rachti Guahua Liu Alexander J Winkler AI4CE 19 0 0 08 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 38 21 0 08 Jan 2024
Kernel-U-Net: Symmetric and Hierarchical Architecture for Multivariate Time Series Forecasting Jiang You René Natowicz Arben Cela Jacob Ouanounou Patrick Siarry AI4TS 34 1 0 03 Jan 2024
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction Dennis Wu Jerry Yao-Chieh Hu Weijian Li Bo-Yu Chen Han Liu AI4TS 24 32 0 28 Dec 2023