Are Transformers Effective for Time Series Forecasting?

26 May 2022

Ailing Zeng

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

50 / 541 papers shown

Title
Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AI Kai Huang Boyuan Yang Wei Gao 24 1 0 13 Dec 2023
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting Yifan Zhang Rui Wu S. Dascalu Frederick C. Harris AI4TS 36 1 0 11 Dec 2023
Mixture-of-Linear-Experts for Long-term Time Series Forecasting Ronghao Ni Zinan Lin Shuaiqi Wang Giulia Fanti AI4TS 26 15 0 11 Dec 2023
TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting Naghmeh Shafiee Roudbari Charalambos (Charis) Poullis Zachary Patterson Ursula Eicker AI4TS 8 1 0 10 Dec 2023
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu AI4TS 6 4 0 10 Dec 2023
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation Tong Nie Guoyang Qin Wei Ma Yuewen Mei Jiangming Sun AI4TS AI4CE 10 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 25 2 0 04 Dec 2023
GVFs in the Real World: Making Predictions Online for Water Treatment Muhammad Kamran Janjua Haseeb Shah Martha White Erfan Miahi Marlos C. Machado Adam White AI4CE 16 7 0 04 Dec 2023
Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting Junkai Mao Yuexing Han Gouhei Tanaka Bing Wang AI4TS 11 0 0 01 Dec 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 68 2 0 24 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 16 0 0 21 Nov 2023
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 15 10 0 19 Nov 2023
Self-Distilled Representation Learning for Time Series Felix Pieper Konstantin Ditschuneit Martin Genzel Alexandra Lindt Johannes Otterbach AI4TS 21 1 0 19 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 28 9 0 19 Nov 2023
PEMS: Pre-trained Epidemic Time-series Models Harshavardhan Kamarthi B. A. Prakash AI4TS 19 2 0 14 Nov 2023
Two-Stage Aggregation with Dynamic Local Attention for Irregular Time Series Xingyu Chen Xiaochen Zheng Amina Mollaysa Manuel Schürch Ahmed Allam Michael Krauthammer AI4TS 14 1 0 13 Nov 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Kun Yi Qi Zhang Wei Fan Shoujin Wang Pengyang Wang Hui He Defu Lian Ning An Longbin Cao ZhenDong Niu AI4TS 56 121 0 10 Nov 2023
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations S. Lim Jaehyeon Park Seojin Kim Hyowon Wi Haksoo Lim Jinsung Jeon Jeongwhan Choi Noseong Park AI4TS AI4CE 18 2 0 08 Nov 2023
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics Surajsinh Parmar Tao Shan San Lee Yonghwan Kim Jang Yong Kim 18 2 0 07 Nov 2023
Multi-resolution Time-Series Transformer for Long-term Forecasting Yitian Zhang Liheng Ma Soumyasundar Pal Yingxue Zhang Mark J. Coates AI4TS 28 27 0 07 Nov 2023
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models Valentino Assandri Sam Heshmati Burhaneddin Yaman Anton Iakovlev Ariel Emiliano Repetur 32 0 0 02 Nov 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis Zelin Ni Hang Yu Shizhan Liu Jianguo Li Weiyao Lin AI4TS 8 30 0 31 Oct 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 26 4 0 31 Oct 2023
Large Trajectory Models are Scalable Motion Predictors and Planners Q. Sun Shiduo Zhang Danjiao Ma Jingzhe Shi Derun Li Simian Luo Yu Wang Ningyi Xu Guangzhi Cao Hang Zhao 16 13 0 30 Oct 2023
Multi Time Scale World Models Vaisakh Shaj Saleh Gholam Zadeh Ozan Demir L. R. Douat Gerhard Neumann AI4CE 12 3 0 27 Oct 2023
SigFormer: Signature Transformers for Deep Hedging Anh Tong Thanh Nguyen-Tang Dongeun Lee Toan M. Tran Jaesik Choi AIFin 11 5 0 20 Oct 2023
Is Channel Independent strategy optimal for Time Series Forecasting? Peiwen Yuan Changsheng Zhu AI4TS 23 3 0 18 Oct 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 18 18 0 18 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Yuxuan Liang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 31 116 0 16 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 20 75 0 15 Oct 2023
A decoder-only foundation model for time-series forecasting Abhimanyu Das Weihao Kong Rajat Sen Yichen Zhou AI4TS AI4CE 16 183 0 14 Oct 2023
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning Jiecheng Lu Xu Han Shihao Yang AI4TS 14 2 0 14 Oct 2023
Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver Marc Finzi Shikai Qiu Andrew Gordon Wilson AI4TS 33 316 0 11 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 24 431 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
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain Gerald Woo Chenghao Liu Akshat Kumar Doyen Sahoo AI4TS AI4CE 27 12 0 08 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 19 121 0 08 Oct 2023
TimeGPT-1 Azul Garza Cristian Challu Max Mergenthaler-Canseco AI4TS 25 97 0 05 Oct 2023
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs Ilan Naiman N. Benjamin Erichson Pu Ren Lbnl Michael W. Mahoney ICSI Omri Azencot AI4TS 11 18 0 04 Oct 2023
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control L. Saad Saoud Irfan Hussain 22 2 0 03 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 36 350 0 03 Oct 2023
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting Zeying Gong Yujin Tang Junwei Liang KELM AI4TS 21 25 0 01 Oct 2023
Unified Long-Term Time-Series Forecasting Benchmark Wenzhuo Zhou Szymon Haponiuk AI4TS 14 2 0 27 Sep 2023
Leveraging Herpangina Data to Enhance Hospital-level Prediction of Hand-Foot-and-Mouth Disease Admissions Using UPTST Guoqi Yu Hailun Yao Huan Zheng Ximing Xu 21 0 0 26 Sep 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling Yifan Zhang Qingsong Wen Xue Wang Weiqiu Chen Liang Sun Z. Zhang Liang Wang Rong Jin Tien-Ping Tan AI4TS 41 28 0 22 Sep 2023
Transformers versus LSTMs for electronic trading Paul Bilokon Yitao Qiu AI4TS AIFin 11 13 0 20 Sep 2023
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting Peiyuan Liu Beiliang Wu Naiqi Li Tao Dai Fengmao Lei Jigang Bao Yong Jiang Shutao Xia AI4TS 46 4 0 20 Sep 2023
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks V. Perifanis Nikolaos Pavlidis Selim F. Yilmaz F. Wilhelmi Elia Guerra M. Miozzo P. Efraimidis Paolo Dini R. Koutsiamanis 11 11 0 19 Sep 2023
MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings Yonchanok Khaokaew Hao Xue Flora D. Salim VLM AI4TS 20 1 0 15 Sep 2023
Long-term drought prediction using deep neural networks based on geospatial weather data Alexander Marusov Vsevolod Grabar Yury Maximov Nazar Sotiriadi Alexander Bulkin Alexey Zaytsev 29 8 0 12 Sep 2023