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Are Transformers Effective for Time Series Forecasting?

26 May 2022

Ailing Zeng

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

50 / 193 papers shown

Title
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay Hussain Jagirdar Rukma Talwadker Aditya Pareek Pulkit Agrawal Tridib Mukherjee AI4TS 195 2 0 03 Apr 2025
ModelRadar: Aspect-based Forecast Evaluation Vítor Cerqueira Luis Roque Carlos Soares 176 0 0 31 Mar 2025
CITRAS: Covariate-Informed Transformer for Time Series Forecasting Yosuke Yamaguchi Issei Suemitsu Wenpeng Wei AI4TS 101 2 0 31 Mar 2025
Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification Weiqi Zhang Jiexia Ye Zehan Li Jiajun Li Fugee Tsung MedIm 70 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 81 0 0 17 Mar 2025
Can LLMs Understand Time Series Anomalies? Zihao Zhou Rose Yu AI4TS 167 15 0 13 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 105 0 0 10 Mar 2025
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs Haoran Fan Bin Li Yixuan Weng Shoujun Zhou AI4TS 118 0 0 05 Mar 2025
CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators Amit Kumar Taoran Ji 156 0 0 26 Feb 2025
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records Bingke Zhu Xiaoxiao Wang Minghui Jia Yihan Tao Xiao Kong Ali Luo Yingying Chen Ming Tang Jinqiao Wang 126 0 0 25 Feb 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models Raeid Saqur Anastasis Kratsios Florian Krach Yannick Limmer Jacob-Junqi Tian John Willes Blanka Horvath Frank Rudzicz MoE 147 0 0 24 Feb 2025
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration Xin Zhang Liangxiu Han Stephen White Saad Hassan Philip A Kalra James Ritchie Carl Diver Jennie Shorley 112 1 0 24 Feb 2025
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification Arshia Kermani Ehsan Zeraatkar Habib Irani 135 3 0 23 Feb 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data Ege Onur Taga M. E. Ildiz Samet Oymak AI4TS 148 3 0 22 Feb 2025
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data Abhilash Neog Arka Daw Sepideh Fatemi Khorasgani Anuj Karpatne AI4TS 58 0 0 18 Feb 2025
PPGF: Probability Pattern-Guided Time Series Forecasting Yanru Sun Zongxia Xie Haoyu Xing Hualong Yu Q. Hu AI4TS 75 0 0 18 Feb 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models Weilin Ruan Siru Zhong Haomin Wen Yuxuan Liang AI4TS 143 1 0 16 Feb 2025
HADL Framework for Noise Resilient Long-Term Time Series Forecasting Aditya Dey Jonas Kusch Fadi Al Machot AI4TS 86 0 0 14 Feb 2025
Modeling Time-evolving Causality over Data Streams Naoki Chihara Yasuko Matsubara Ren Fujiwara Yasushi Sakurai AI4TS 145 0 0 13 Feb 2025
A Deep Inverse-Mapping Model for a Flapping Robotic Wing Hadar Sharvit Raz Karl Tsevi Beatus 102 0 0 13 Feb 2025
TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data Leonardo Berti Gjergji Kasneci AI4TS 195 1 0 12 Feb 2025
Investigating Compositional Reasoning in Time Series Foundation Models Willa Potosnak Cristian Challu Mononito Goswami Kin G. Olivares Michał Wiliński Nina Żukowska Artur Dubrawski ReLM AI4TS LRM 124 2 0 09 Feb 2025
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting Siru Zhong Weilin Ruan Ming Jin Huan Li Qingsong Wen Yuxuan Liang VLM AI4TS 183 9 0 06 Feb 2025
A transformer-based deep q learning approach for dynamic load balancing in software-defined networks Evans Tetteh Owusu Kwame Agyemang-Prempeh Agyekum Marinah Benneh Pius Ayorna Justice Owusu Agyemang George Nii Martey Colley James Dzisi Gazde 73 0 0 28 Jan 2025
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting Wenxuan Xie Fanpu Cao AI4TS 78 1 0 27 Jan 2025
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions Qianying Cao Shanqing Liu Alan John Varghese Jérome Darbon M. Triantafyllou George Karniadakis AI4TS 509 0 0 21 Jan 2025
Dynamic Trend Fusion Module for Traffic Flow Prediction Jing Chen Haocheng Ye Zhian Ying Yuntao Sun Wenqiang Xu AI4TS 77 9 0 18 Jan 2025
Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers Muhammad Umair Danish Katarina Grolinger AI4TS 101 8 0 12 Jan 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks Fuhang Liang Rucong Xu Deng Lin OOD 86 0 0 10 Jan 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann Alina Fastowski Felix Pfeiffer Gjergji Kasneci 176 5 0 10 Jan 2025
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting Daojun Liang Haixia Zhang Dongfeng Yuan UQCV 146 0 0 08 Jan 2025
Koopman Learning with Episodic Memory William T. Redman Dean Huang M. Fonoberova Igor Mezić 93 0 0 08 Jan 2025
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification Yunshi Wen Tengfei Ma Tsui-Wei Weng Lam M. Nguyen A. Julius AI4TS 88 3 0 08 Jan 2025
Approximation Rate of the Transformer Architecture for Sequence Modeling Hao Jiang Qianxiao Li 123 11 0 03 Jan 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis Sabera Talukder Yisong Yue Georgia Gkioxari AI4TS 145 14 0 03 Jan 2025
DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images Enbo Huang Yuan Zhang Faliang Huang Guangyu Zhang Yang Liu DiffM 100 0 0 25 Dec 2024
GG-SSMs: Graph-Generating State Space Models Nikola Zubić Davide Scaramuzza Mamba 200 1 0 17 Dec 2024
Video LLMs for Temporal Reasoning in Long Videos Fawad Javed Fateh Umer Ahmed Hamza Khan M. Zia Quoc-Huy Tran VLM 178 1 0 04 Dec 2024
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting Yuang Zhao Tianyu Li Jiadong Chen Shenrong Ye Fuxin Jiang Tieying Zhang Xiaofeng Gao AI4TS 470 0 0 26 Nov 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting Wei Yuan Guanhua Ye Xiangyu Zhao Quoc Viet Hung Nguyen Yang Cao Hongzhi Yin AI4TS 144 1 0 24 Nov 2024
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection Mengxuan Li Ke Liu Hongyang Chen Jiajun Bu Hongwei Wang Haishuai Wang AI4TS 203 1 0 18 Nov 2024
Human Arm Pose Estimation with a Shoulder-worn Force-Myography Device for Human-Robot Interaction Rotem Atari Eran Bamani A. Sintov 89 0 0 12 Nov 2024
Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu Ritvik Gupta Wenduo Cheng Alexander Shen Junhong Shen Ameet Talwalkar M. Khodak AI4CE 116 9 0 05 Nov 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting Yanlong Wang Jinfeng Xu Fei Ma Shao-Lun Huang Danny Dongning Sun Xiao-Ping Zhang AI4TS 124 1 0 03 Nov 2024
Prospective Learning: Learning for a Dynamic Future Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 168 1 0 31 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 538 1 0 28 Oct 2024
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting Yuhua Liao Zetian Wang Peng Wei Qiangqiang Nie Zhenhua Zhang AI4TS 33 0 0 24 Oct 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting Guoqi Yu Yaoming Li Xiaoyu Guo Dayu Wang Zirui Liu Shujun Wang Tong Yang AI4TS 474 0 0 22 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang Jiawei Li Xiaoming Shi Zhou Ye Baichuan Mo Wenze Lin Shengtong Ju Zhixuan Chu Ming Jin AI4TS 116 18 0 21 Oct 2024
Implementation and Assessment of Machine Learning Models for Forecasting Suspected Opioid Overdoses in Emergency Medical Services Data Aaron D. Mullen Daniel Harris Peter Rock Katherine Thompson Svetla Slavova Jeffery Talbert V. Bumgardner 50 0 0 21 Oct 2024