Are Transformers Effective for Time Series Forecasting?

26 May 2022

Ailing Zeng

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

50 / 545 papers shown

Title
Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting Dona Arabi Jafar Bakhshaliyev Ayse Coskuner Kiran Madhusudhanan Kami Serdar Uckardes AI4TS 47 2 0 20 Aug 2024
Partial-Multivariate Model for Forecasting Jaehoon Lee Hankook Lee Sungik Choi Sungjun Cho Moontae Lee AI4TS 44 0 0 19 Aug 2024
Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting Zibo Liu Zhe Jiang Shigang Chen AI4TS 32 0 0 12 Aug 2024
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation Jianping Zhou Junhao Li Guanjie Zheng Xinbing Wang Chenghu Zhou 43 2 0 11 Aug 2024
rule4ml: An Open-Source Tool for Resource Utilization and Latency Estimation for ML Models on FPGA M. M. Rahimifar Hamza Ezzaoui Rahali A. C. Therrien 23 0 0 09 Aug 2024
An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting Rui Cao Qiao Wang 34 1 0 09 Aug 2024
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting Xin Zhou Weiqing Wang Wray L. Buntine Shilin Qu Abishek Sriramulu Weicong Tan Christoph Bergmeir AI4TS 55 1 0 08 Aug 2024
PowerPM: Foundation Model for Power Systems Shihao Tu Yupeng Zhang Jing Zhang Yang Yang AI4TS 45 5 0 07 Aug 2024
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting Michael Staniek Marius Fracarolli Michael Hagmann Stefan Riezler OOD AI4TS 29 1 0 07 Aug 2024
MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Analysis Wenqi Zhu Yinghua Fu Ze Wang 35 0 0 06 Aug 2024
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting Ruixin Ding Yuqi Chen Yu-Ting Lan Wei Zhang AI4TS 44 2 0 05 Aug 2024
A federated large language model for long-term time series forecasting Raed Abdel Sater A. B. Hamza AI4TS 37 2 0 30 Jul 2024
Machine Learning for Predicting Chaotic Systems Christof Schötz Alistair J R White Maximilian Gelbrecht Niklas Boers AI4CE 36 4 0 29 Jul 2024
Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning Bobby Chen Siyu Chen Jason Dowlatabadi Yu Xuan Hong Vinayak Iyer ... Kaichen Wei Chen Xu Jingnan Yang Allen T. Zhang Guoqing Zhang OffRL 39 0 0 26 Jul 2024
DAM: Towards A Foundation Model for Time Series Forecasting L. N. Darlow Qiwen Deng Ahmed Hassan Martin Asenov Rajkarn Singh Artjom Joosen Adam Barker Amos Storkey AI4TS AI4CE 48 3 0 25 Jul 2024
Channel-Aware Low-Rank Adaptation in Time Series Forecasting Tong Nie Yuewen Mei Guoyang Qin Jiangming Sun Wei Ma BDL AI4TS 33 6 0 24 Jul 2024
TimeInf: Time Series Data Contribution via Influence Functions Yizi Zhang Jingyan Shen Xiaoxue Xiong Yongchan Kwon AI4TS TDI 34 0 0 21 Jul 2024
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift Hui He Qi Zhang Kun Yi Xiaojun Xue Shoujin Wang Liang Hu Longbin Cao OOD AI4TS 63 0 0 18 Jul 2024
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting Xingyu Zhang Siyu Zhao Changwen Zheng Huijie Guo Jianqi Zhang Changwen Zheng Jingyao Wang AI4TS 32 4 0 17 Jul 2024
Learning Global and Local Features of Power Load Series Through Transformer and 2D-CNN: An Image-based Multi-step Forecasting Approach Incorporating Phase Space Reconstruction Zihan Tang Tianyao Ji Wenhu Tang 36 1 0 16 Jul 2024
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks Mohammed Alruqimi L. D. Persio OOD 21 4 0 15 Jul 2024
Omni-Dimensional Frequency Learner for General Time Series Analysis Xianing Chen.Hanting Chen Hanting Chen Hailin Hu AI4TS 40 0 0 15 Jul 2024
xLSTMTime : Long-term Time Series Forecasting With xLSTM Musleh Alharthi A. Mahmood AI4TS 23 13 0 14 Jul 2024
Toto: Time Series Optimized Transformer for Observability Ben Cohen E. Khwaja Kan Wang Charles Masson Elise Ramé Youssef Doubli Othmane Abou-Amal AI4TS 43 3 0 10 Jul 2024
LETS-C: Leveraging Language Embedding for Time Series Classification Rachneet Kaur Zhen Zeng T. Balch Manuela Veloso AI4TS 41 0 0 09 Jul 2024
Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models Litton J. Kurisinkel Pruthwik Mishra Yue Zhang 45 4 0 04 Jul 2024
Membership Inference Attacks Against Time-Series Models Noam Koren Abigail Goldsteen Ariel Farkash Guy Amit 42 0 0 03 Jul 2024
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables Francisco M. Caldas Cláudia Soares 18 1 0 03 Jul 2024
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing Egon Persak Miguel F. Anjos Sebastian Lautz Aleksandar Kolev AI4TS 41 0 0 03 Jul 2024
Behavior Forests: Real-Time Discovery of Dynamic Behavior for Data Selection Philipp Reis Philipp Rigoll Eric Sax AI4TS 27 0 0 02 Jul 2024
MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge Yuning Chen Kang Yang Zhiyu An Brady Holder Luke Paloutzian Khaled Bali Wan Du KELM 60 4 0 01 Jul 2024
Evaluating the Role of Data Enrichment Approaches Towards Rare Event Analysis in Manufacturing Chathurangi Shyalika Ruwan Wickramarachchi Fadi El Kalach R. Harik Amit Sheth 26 3 0 01 Jul 2024
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting Wei Fan Kun Yi Hangting Ye Zhiyuan Ning Qi Zhang Ning An AI4TS 46 9 0 29 Jun 2024
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization Sheo Yon Jhin Seojin Kim Noseong Park AI4TS 39 3 0 29 Jun 2024
Are Language Models Actually Useful for Time Series Forecasting? Mingtian Tan Mike A. Merrill Vinayak Gupta Tim Althoff Thomas Hartvigsen AI4TS 46 45 0 22 Jun 2024
You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation Hongyu Chen Weiming Zeng Luhui Cai Lei Wang Jia Lu Yueyang Li Hongjie Yan W. Siok Nizhuan Wang 32 3 0 21 Jun 2024
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting Yu-Neng Chuang Songchen Li Jiayi Yuan Guanchu Wang Kwei-Herng Lai ... Sirui Ding Qiaoyu Tan Daochen Zha Daochen Zha Xia Hu AI4TS 32 1 0 20 Jun 2024
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler Jiang You Arben Cela René Natowicz Jacob Ouanounou Patrick Siarry AI4TS 56 0 0 19 Jun 2024
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation Du Yin Hao Xue Arian Prabowo Shuang Ao Flora Salim AI4TS 37 0 0 18 Jun 2024
Delay Embedding Theory of Neural Sequence Models Mitchell Ostrow Adam J. Eisen Ila Fiete AI4TS 37 2 0 17 Jun 2024
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking Xi Chen Chuan Qin Chuyu Fang Chao Wang Chen Zhu Fuzhen Zhuang Hengshu Zhu Hui Xiong 42 5 0 17 Jun 2024
First-Order Manifold Data Augmentation for Regression Learning Ilya Kaufman Omri Azencot 33 3 0 16 Jun 2024
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert Malik Tiomoko Cosme Louart Ambroise Odonnat Vasilii Feofanov Themis Palpanas I. Redko AI4TS 65 1 0 14 Jun 2024
WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting Quangao Liu Ruiqi Li Maowei Jiang Wei Yang Chen Liang Longlong Pang Zhuozhang Zou AI4TS 34 0 0 14 Jun 2024
Fredformer: Frequency Debiased Transformer for Time Series Forecasting Xihao Piao Zheng Chen Taichi Murayama Yasuko Matsubara Yasushi Sakurai AI4TS 50 18 0 13 Jun 2024
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics Arian Prabowo Xiachong Lin Imran Razzak Hao Xue Emily W. Yap Matthew Amos Flora D. Salim AI4TS AI4CE 37 3 0 13 Jun 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis Haoxin Liu Shangqing Xu Zhiyuan Zhao Lingkai Kong Harshavardhan Kamarthi ... Megha Sharma Jiaming Cui Qingsong Wen Chao Zhang B. Aditya Prakash AI4TS 48 5 0 12 Jun 2024
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting Yuxuan Shu Vasileios Lampos AI4TS AI4CE 70 0 0 11 Jun 2024
C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting Chaolv Zeng Zhanyu Liu Guanjie Zheng Linghe Kong Mamba 53 5 0 08 Jun 2024
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach Difan Deng Marius Lindauer AI4TS 53 0 0 07 Jun 2024