Are Transformers Effective for Time Series Forecasting?

26 May 2022

Ailing Zeng

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

50 / 542 papers shown

Title
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction Yin Huang Yongqi Dong Youhua Tang Li Li 13 1 0 02 May 2024
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters Shengsheng Lin Weiwei Lin Wentai Wu Haojun Chen Junjie Yang 40 35 0 02 May 2024
DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting Yihang Fu Mingyu Zhou Luyao Zhang AI4TS 21 6 0 01 May 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 39 3 0 01 May 2024
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction Zhanwei Zhang Zishuo Hua Minghao Chen Wei Lu Binbin Lin Deng Cai Wenxiao Wang 33 1 0 30 Apr 2024
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting Han Zhou Yuntian Chen AI4TS 32 0 0 29 Apr 2024
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting Gareth Davies AI4TS 19 1 0 29 Apr 2024
Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based Approach Saud Alghumayjan Jiajun Han Ningkun Zheng Ming Yi Bolun Xu 30 1 0 26 Apr 2024
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data C. Symeonidis N. Nikolaidis 22 0 0 26 Apr 2024
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting Aobo Liang Xingguo Jiang Y. Sun Xiaohou Shi Ke Li AI4TS Mamba 21 4 0 24 Apr 2024
Probabilistic forecasting of power system imbalance using neural network-based ensembles Jonas Van Gompel Bert Claessens Chris Develder 31 1 0 23 Apr 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion Lu Han Xu-Yang Chen Han-Jia Ye De-Chuan Zhan AI4TS 33 22 0 22 Apr 2024
Variational quantization for state space models Etienne David Jean Bellot Sylvain Le Corff AI4TS BDL 25 1 0 17 Apr 2024
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach Qiuyi Hong Fanlin Meng Felipe Maldonado AI4TS 18 1 0 16 Apr 2024
TSLANet: Rethinking Transformers for Time Series Representation Learning Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu Xiaoli Li AI4TS AIFin 36 32 0 12 Apr 2024
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting Hengyu Ye Jiadong Chen Shijin Gong Fuxin Jiang Tieying Zhang Jianjun Chen Xiaofeng Gao AI4TS 26 2 0 08 Apr 2024
Transformer meets wcDTW to improve real-time battery bids: A new approach to scenario selection Sujal Bhavsar Vera Zaychik Moffitt Justin Appleby 18 0 0 02 Apr 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting Jialin Chen J. E. Lenssen Aosong Feng Weihua Hu Matthias Fey Leandros Tassiulas J. Leskovec Rex Ying AI4TS 29 10 0 31 Mar 2024
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods Xiangfei Qiu Jilin Hu Lekui Zhou Xingjian Wu Junyang Du ... Chenjuan Guo Aoying Zhou Christian S. Jensen Zhenli Sheng Bin Yang AI4TS 49 61 0 29 Mar 2024
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction G. Ye Li Feng Jianlan Guo Yuqiang Chen KELM 14 0 0 27 Mar 2024
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series Analysis Badri N. Patro Suhas Ranganath Vinay P. Namboodiri Vijay Srinivas Agneeswaran 43 2 0 26 Mar 2024
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting Xiaobing Yuan Ling Chen AI4TS 18 0 0 26 Mar 2024
A Transformer approach for Electricity Price Forecasting Oscar Llorente Jose Portela 16 0 0 24 Mar 2024
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series Badri N. Patro Vijay Srinivas Agneeswaran Mamba 51 50 0 22 Mar 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 61 6 0 22 Mar 2024
Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline Shuhao Li Yue Cui Jingyi Xu Libin Li Lingkai Meng Weidong Yang Fan Zhang Xiaofang Zhou AI4TS 16 1 0 22 Mar 2024
An Analysis of Linear Time Series Forecasting Models William Toner Luke Darlow AI4TS 43 22 0 21 Mar 2024
Is Mamba Effective for Time Series Forecasting? Zihan Wang Fanheng Kong Shi Feng Ming Wang Xiaocui Yang Han Zhao Daling Wang Yifei Zhang Mamba AI4TS 27 54 0 17 Mar 2024
Rough Transformers for Continuous and Efficient Time-Series Modelling Fernando Moreno-Pino Alvaro Arroyo H. Waldon Xiaowen Dong Álvaro Cartea AI4TS MedIm 34 5 0 15 Mar 2024
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting Md. Atik Ahamed Qiang Cheng Mamba AI4TS 55 47 0 14 Mar 2024
Deep Limit Order Book Forecasting Antonio Briola Silvia Bartolucci T. Aste 38 3 0 14 Mar 2024
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer Wenyong Han Tao Zhu L. Chen Huansheng Ning Yang Luo Yaping Wan AI4TS 22 7 0 14 Mar 2024
Caformer: Rethinking Time Series Analysis from Causal Perspective Kexuan Zhang Xiaobei Zou Yang Tang AI4TS 32 1 0 13 Mar 2024
P2LHAP:Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer Shuangjian Li Tao Zhu Mingxing Nie Huansheng Ning Zhenyu Liu L. Chen AI4TS 23 0 0 13 Mar 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning Peiyuan Liu Hang Guo Tao Dai Naiqi Li Jigang Bao Xudong Ren Yong Jiang Shu-Tao Xia AI4TS 62 16 0 12 Mar 2024
$$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting$ $\textbf{S}^2$ IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting Zijie Pan Yushan Jiang Sahil Garg Anderson Schneider Yuriy Nevmyvaka Dongjin Song AI4TS 44 6 0 09 Mar 2024
tsGT: Stochastic Time Series Modeling With Transformer Lukasz Kuciñski Witold Drzewakowski Mateusz Olko Piotr Kozakowski Lukasz Maziarka Marta Emilia Nowakowska Lukasz Kaiser Piotr Milo's 44 1 0 08 Mar 2024
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition Aosong Feng Jialin Chen Juan Garza Brooklyn Berry Francisco Salazar Yifeng Gao Rex Ying Leandros Tassiulas 28 1 0 07 Mar 2024
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting Kiran Madhusudhanan Shayan Jawed Lars Schmidt-Thieme BDL AI4TS 29 0 0 07 Mar 2024
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling Zhongjun Ni Chi Zhang M. Karlsson Shaofang Gong AI4CE 21 0 0 07 Mar 2024
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records Yingbo Ma Suraj Kolla Dhruv Kaliraman Victoria Nolan Zhenhong Hu ... T. Ozrazgat-Baslanti Tyler J. Loftus Parisa Rashidi A. Bihorac B. Shickel AI4TS 27 1 0 06 Mar 2024
Quantum Mixed-State Self-Attention Network Fu Chen Qinglin Zhao Li Feng Chuangtao Chen Yangbin Lin Jianhong Lin 34 5 0 05 Mar 2024
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting Ce Chi Xing Wang Kexin Yang Zhiyan Song Di Jin Lin Zhu Chao Deng Junlan Feng AI4TS 27 0 0 05 Mar 2024
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize? Kseniia Kuvshinova Olga Tsymboi Alina Kostromina Dmitry Simakov Elizaveta Kovtun AI4TS 21 2 0 04 Mar 2024
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables Jiecheng Lu Xu Han Yan Sun Shihao Yang AI4TS 16 16 0 04 Mar 2024
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data M. Perera J. Hoog Kasun Bandara Damith A. Senanayake Saman K. Halgamuge AI4TS 16 16 0 04 Mar 2024
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis Mingyue Cheng Jiqian Yang Tingyue Pan Qi Liu Zhi Li AI4TS 24 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 24 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 34 15 0 29 Feb 2024
Predicting machine failures from multivariate time series: an industrial case study Nicolò Oreste Pinciroli Vago Francesca Forbicini Piero Fraternali AI4CE 28 7 0 27 Feb 2024