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Are Transformers Effective for Time Series Forecasting?

AAAI Conference on Artificial Intelligence (AAAI), 2022

26 May 2022

Ailing Zeng

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

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Title
Non-stationary Diffusion For Probabilistic Time Series Forecasting Weiwei Ye Zhuopeng Xu Ning Gui DiffM 338 3 0 07 May 2025
Retrieval Augmented Time Series Forecasting Sungwon Han Seungeon Lee M. Cha Sercan O. Arik Chang Jo Kim AI4TS 152 0 0 07 May 2025
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting Yuanbo Wang Xiaofeng Hu Xiaojian Cui Kai Wang AI4TS 221 0 0 07 May 2025
Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Charupriya Sharma Iñaki Estella Aguerri Daniel Guimarans AI4TS 134 0 0 06 May 2025
Physics-inspired Energy Transition Neural Network for Sequence Learning Zhou Wu Junyi An Baile Xu Furao Shen Jian Zhao PINN 139 0 0 06 May 2025
SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting Shiwei Guo Zheyu Chen Yupeng Ma Yunfei Han Yi Wang AI4TS 743 0 0 05 May 2025
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series ForecastingInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Minhyuk Lee HyeKyung Yoon MyungJoo Kang AI4TS 249 2 0 04 May 2025
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge DistillationIEEE International Conference on Data Engineering (ICDE), 2025 Chenxi Liu Hao Miao Qianxiong Xu Shaowen Zhou Cheng Long Yan Zhao Ziyue Li Rui Zhao AI4TS 399 20 0 04 May 2025
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts Wenfa Wu Guanyu Zhang Zheng Tan Yi Wang Hongsheng Qi AI4TS 205 2 0 02 May 2025
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades Rahuul Rangaraj Jimeng Shi Azam Shirali Rajendra Paudel Yanzhao Wu Giri Narasimhan 244 3 0 02 May 2025
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting Chengsen Wang Q. Qi Jiangming Wang Haifeng Sun Zirui Zhuang J. Liao AI4TS 245 0 0 01 May 2025
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations Yu-Hsiang Lan Anton Alyakin AI4TS 236 1 0 01 May 2025
Multimodal Conditioned Diffusive Time Series Forecasting Chen Su Yuanhe Tian Yan Song DiffM AI4TS 178 3 0 28 Apr 2025
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical HeterogeneityIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2025 Xiaolu Chen Chenghao Huang Yanru Zhang Hao Wang 287 1 0 25 Apr 2025
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network Ziran Liang Rui An Wenqi Fan Yanghui Rao Yuxuan Liang AI4TS 278 1 0 23 Apr 2025
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning Jia Liu Cheng Jinguo Xia Fang Zhenyuan Ma Yuankai Wu CLL AI4TS LRM 302 2 0 20 Apr 2025
Energy-Aware Pattern Disentanglement: A Generalizable Pattern Assisted Architecture for Multi-task Time Series Analysis Xiangkai Ma Xiaobin Hong Wenzhong Li Sanglu Lu AI4TS 368 0 0 19 Apr 2025
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations Yihang Lu Yangyang Xu Qitao Qing Xianwei Meng AI4TS 288 2 0 17 Apr 2025
Possibility for Proactive Anomaly Detection Jinsung Jeon Jaehyeon Park Sewon Park Jeongwhan Choi Minjung Kim Noseong Park AI4TS 124 1 0 15 Apr 2025
Air Quality Prediction with A Meteorology-Guided Modality-Decoupled Spatio-Temporal NetworkIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025 Hang Yin Yan Zhang Jian Xu Jian-Long Chang Yongbin Li Cheng-Lin Liu 180 0 0 14 Apr 2025
Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion Qisai Liu Zhanhong Jiang Joshua R. Waite Chao Liu Aditya Balu Soumik Sarkar AI4TS 208 0 0 11 Apr 2025
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting Yusuf Meric Karadag Sinan Kalkan Ipek Gursel Dino Mamba AI4TS AI4CE 203 1 0 10 Apr 2025
Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs Taibiao Zhao Xiaobing Chen Mingxuan Sun AI4TS 248 3 0 10 Apr 2025
Foundation Models for Time Series: A Survey Siva Rama Krishna Kottapalli Karthik Hubli Sandeep Chandrashekhara Garima Jain Sunayana Hubli Gayathri Botla Ramesh Doddaiah AI4TS AI4CE 353 3 0 05 Apr 2025
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework Xintong Wang Haihan Nan Ruidong Li Huaming Wu AI4TS 65 1 0 04 Apr 2025
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible GameplayKnowledge Discovery and Data Mining (KDD), 2024 Hussain Jagirdar Rukma Talwadker Aditya Pareek Pulkit Agrawal Tridib Mukherjee AI4TS 288 3 0 03 Apr 2025
Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements Sijie Xiong Shuqing Liu Cheng Tang Fumiya Okubo Haoling Xiong Atsushi Shimada Mamba AI4TS 185 1 0 02 Apr 2025
Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers Sanjay Chakraborty Fredrik Heintz AI4TS 133 0 0 31 Mar 2025
EMForecaster: A Deep Learning Framework for Time Series Forecasting in Wireless Networks with Distribution-Free Uncertainty QuantificationIEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025 Xavier Mootoo Hina Tabassum Luca Chiaraviglio AI4TS 203 1 0 31 Mar 2025
CITRAS: Covariate-Informed Transformer for Time Series Forecasting Yosuke Yamaguchi Issei Suemitsu Wenpeng Wei AI4TS 372 2 0 31 Mar 2025
Time-Series Forecasting via Topological Information Supervised Framework with Efficient Topological Feature Learning Zixin Lin Nur Fariha Syaqina Zulkepli AI4TS AI4CE 148 0 0 31 Mar 2025
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2025 Reza Nematirad Anil Pahwa Balasubramaniam Natarajan AI4TS 187 2 0 31 Mar 2025
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting Sanjay Chakraborty Fredrik Heintz AI4TS AIFin 221 1 0 31 Mar 2025
ModelRadar: Aspect-based Forecast EvaluationMachine-mediated learning (ML), 2025 Vítor Cerqueira Luis Roque Carlos Soares 353 0 0 31 Mar 2025
Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting Fan-Keng Sun Yu-Cheng Wu Duane S. Boning AI4TS 234 2 0 30 Mar 2025
Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms Ninghui Feng Keming Wu Xin Zhou Jiayu Yang Kunlong Feng ... Zhangyi Hu Yutao Yue Yuxuan Liang Boyu Wang Hang Zhao AI4TS 183 1 0 25 Mar 2025
Sentinel: Multi-Patch Transformer with Temporal and Channel Attention for Time Series Forecasting Davide Villaboni A. Castellini Ivan Luciano Danesi Alessandro Farinelli AI4TS 124 2 0 22 Mar 2025
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting Josef Koumar Timotej Smoleň Kamil Jeřábek T. Čejka AI4TS 143 3 0 20 Mar 2025
MedSpaformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification Weiqi Zhang Yongzi Yu Hui Yuan Jiajun Li Fugee Tsung MedIm 281 0 0 19 Mar 2025
Augmented Invertible Koopman Autoencoder for long-term time series forecasting Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS 240 0 0 17 Mar 2025
Can LLMs Understand Time Series Anomalies?International Conference on Learning Representations (ICLR), 2024 Zihao Zhou Rose Yu AI4TS 305 29 0 13 Mar 2025
Minimal Time Series Transformer Joni-Kristian Kämäräinen AI4TS 149 0 0 12 Mar 2025
MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series Forecasting Liang Yu Lai Tu Xiang Bai AI4TS 193 0 0 11 Mar 2025
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-VariationInternational Conference on Learning Representations (ICLR), 2025 Chenghan Li Mingchen Li Ruisheng Diao AI4TS 248 7 0 10 Mar 2025
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models Yanlong Wang Jian Xu Tiantian Gao Hongkang Zhang Shao-Lun Huang Danny Dongning Sun Xiao-Ping Zhang AI4TS 267 0 0 10 Mar 2025
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph Shule Hao Junpeng Bao Chuncheng Lu AI4TS KELM 185 2 0 10 Mar 2025
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMsJournal of Supercomputing (J. Supercomput.), 2025 Haoran Fan Bin Li Yixuan Weng Shoujun Zhou AI4TS 294 1 0 05 Mar 2025
SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting Ting Huang Xu-Yang Chen Han-Jia Ye AI4TS 187 2 0 04 Mar 2025
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest Yuhan Jing Jiangming Wang Lei Zhang Haifeng Sun Bo He Zirui Zhuang Chengsen Wang Q. Qi Jianxin Liao AI4TS 176 0 0 03 Mar 2025
Patch-wise Structural Loss for Time Series Forecasting Dilfira Kudrat Zongxia Xie Yanru Sun Tianyu Jia Q. Hu AI4TS 900 12 0 02 Mar 2025