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Time Series Forecasting With Deep Learning: A Survey

28 April 2020

Papers citing "Time Series Forecasting With Deep Learning: A Survey"

50 / 346 papers shown

Title
Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks Ali Forootani Mohammad Khosravi AI4TS 117 3 0 26 May 2025
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu Ze Yang Xiao Lin Ruizhong Qiu Tianxin Wei Yada Zhu Hendrik Hamann Jingrui He Hanghang Tong AI4TS 147 3 0 24 May 2025
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting Xingyu Zhang Wenwen Qiang Siyu Zhao Huijie Guo Jiangmeng Li Chuxiong Sun Changwen Zheng AI4TS 132 1 0 22 May 2025
MSDformer: Multi-scale Discrete Transformer For Time Series Generation Zhicheng Chen Shibo Feng Xi Xiao Zhong Zhang Qing Li Xingyu Gao Peilin Zhao 127 1 0 20 May 2025
Leveraging Multivariate Long-Term History Representation for Time Series ForecastingIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025 Huiliang Zhang Di Wu Arnaud Zinflou Stephane Dellacherie Mouhamadou Makhtar Dione Benoit Boulet AI4TS 132 0 0 20 May 2025
Nearest Neighbor Multivariate Time Series ForecastingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Huiliang Zhang Ping Nie Lijun Sun Benoit Boulet AI4TS 170 2 0 16 May 2025
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning Yuanzhao Zhang William Gilpin AI4TS 135 1 0 16 May 2025
IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Yifan Zhou Yibo Wang Chao Shang AI4TS 163 0 0 09 May 2025
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Muyao Zhong Yushi Lin Peng Yang AI4TS 130 2 0 04 May 2025
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data StreamsKnowledge Discovery and Data Mining (KDD), 2025 Shingo Higashiguchi Yasuko Matsubara Koki Kawabata Taichi Murayama Yasushi Sakurai AI4TS 137 0 0 01 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 197 0 0 01 May 2025
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications Ning Xin Jionglong Su Md Maruf Hasan AI4TS 231 0 0 18 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 253 10 0 17 Apr 2025
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting Yusuf Meric Karadag Sinan Kalkan Ipek Gursel Dino Mamba AI4TS AI4CE 142 1 0 10 Apr 2025
Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics Enming Zhang Zheng Liu Yu Xiang Yanwen Qu 90 1 0 09 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 241 3 0 05 Apr 2025
Adaptive Classification of Interval-Valued Time Series Wan Tian Zhongfeng Qin AI4TS 146 1 0 04 Apr 2025
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models Hengyu Lin AI4CE 152 0 0 04 Apr 2025
Dual-Splitting Conformal Prediction for Multi-Step Time Series ForecastingApplied Soft Computing (ASC), 2025 Qingdi Yu Zhiwei Cao R. Wang Zhen Yang Lijun Deng Min Hu Yong Luo Xin Zhou AI4TS 214 0 0 27 Mar 2025
Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoringEngineering applications of artificial intelligence (EAAI), 2025 Adrian Villalobos Iban Barrutia Rafael Pena-Alzola Tomislav Dragicevic Jose I. Aizpurua 235 2 0 26 Mar 2025
Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques Seyedeh Azadeh Fallah Mortezanejad Ruochen Wang AI4TS 157 0 0 26 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 155 1 0 25 Mar 2025
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting Josef Koumar Timotej Smoleň Kamil Jeřábek T. Čejka AI4TS 106 1 0 20 Mar 2025
Temporal Encoding Strategies for Energy Time Series Prediction Aayam Bansal Keertan Balaji Zeus Lalani AI4TS 129 4 0 19 Mar 2025
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models Xu Liu Taha Aksu Juncheng Liu Qingsong Wen Yuxuan Liang Caiming Xiong Siyang Song Doyen Sahoo Junnan Li Chenghao Liu AI4TS 176 5 0 14 Mar 2025
Probabilistic Forecasting via Autoregressive Flow Matching Ahmed El-Gazzar Marcel van Gerven AI4TS 152 1 0 13 Mar 2025
A Deep-Learning Iterative Stacked Approach for Prediction of Reactive Dissolution in Porous Media Marcos Cirne Hannah Menke A. Abdellatif Julien Maes Florian Doster A. Elsheikh AI4CE 113 0 0 11 Mar 2025
Degradation Self-Supervised Learning for Lithium-ion Battery Health Diagnostics J. C. Chen 104 0 0 11 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 231 0 0 10 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 200 6 0 10 Mar 2025
Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGAInternational Workshop on Applied Reconfigurable Computing (ARC), 2025 Hiroshi Nakano Krzysztof Blachut K. Jeziorek Piotr Wzorek Manon Dampfhoffer Thomas Mesquida Hiroaki Nishi T. Kryjak Thomas Dalgaty GNN 167 1 0 09 Mar 2025
Time-MQA: Time Series Multi-Task Question Answering with Context EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Yaxuan Kong Yiyuan Yang Yoontae Hwang Wenjie Du Stefan Zohren Zhangyang Wang Ming Jin Qingsong Wen AI4TS 216 24 0 26 Feb 2025
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting Guoqi Yu Yaoming Li Juncheng Wang Xiaoyu Guo Angelica I. Aviles-Rivero Tong Yang Shujun Wang AI4TS 243 3 0 24 Feb 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts Thomas L. Lee William Toner Rajkarn Singh Artjom Joosem Martin Asenov AI4TS 240 2 0 18 Feb 2025
Positional Encoding in Transformer-Based Time Series Models: A Survey Habib Irani Vangelis Metsis AI4TS 131 11 0 17 Feb 2025
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakMachine-mediated learning (ML), 2025 Madhab Barman Madhurima Panja Nachiketa Mishra Tanujit Chakraborty 104 2 0 15 Feb 2025
Forecasting time series with constraints Nathan Doumèche Francis Bach Éloi Bedek Gérard Biau Claire Boyer Y. Goude AI4TS 265 2 0 14 Feb 2025
SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Remi Genet Hugo Inzirillo 293 4 0 13 Feb 2025
A Deep Inverse-Mapping Model for a Flapping Robotic WingInternational Conference on Learning Representations (ICLR), 2025 Hadar Sharvit Raz Karl Tsevi Beatus 119 0 0 13 Feb 2025
Koopman-Equivariant Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Nicolas Hoischen Max Beier Armin Lederer A. Capone Roland Toth Sandra Hirche AI4TS 166 4 0 10 Feb 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 761 2 0 21 Jan 2025
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based FrameworkJournal of Artificial Intelligence and Soft Computing Research (JAISCR), 2024 Jihan Ghanim M. Awad AI4TS 171 4 0 03 Jan 2025
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented GenerationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Silin Yang Dong Wang Haoqi Zheng Ruochun Jin RALM AI4TS 216 16 0 21 Dec 2024
Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture Malay Pandey Vaishali Jain Nimit Godhani Sachchida Nand Tripathi Piyush Rai DiffM AI4TS AI4CE 140 1 0 18 Dec 2024
Learning Latent Spaces for Domain Generalization in Time Series Forecasting Songgaojun Deng Maarten de Rijke CML AI4TS OOD BDL 190 0 0 15 Dec 2024
MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Andrea Avogaro Luigi Capogrosso Franco Fummi Marco Cristani DiffM 239 1 0 07 Dec 2024
Quantile deep learning models for multi-step ahead time series prediction Jimmy Cheung Smruthi Rangarajan Amelia Maddocks Xizhe Chen Rohitash Chandra AI4TS 208 3 0 24 Nov 2024
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting Shubham Tanaji Kakde Rony Mitra Jasashwi Mandal Manoj Kumar Tiwari KELM AI4TS 81 1 0 17 Nov 2024
FlowTS: Time Series Generation via Rectified Flow Yang Hu Xinyu Wang Lirong Wu Huatian Zhang Stan Z. Li Sheng Wang Jen-tse Huang Jiheng Zhang Ziyun Li Tianlong Chen AI4TS 186 1 0 12 Nov 2024
FilterNet: Harnessing Frequency Filters for Time Series ForecastingNeural Information Processing Systems (NeurIPS), 2024 Kun Yi Jingru Fei Tao Gui Hui He Shufeng Hao Defu Lian Wei Fan AI4TS 175 33 0 03 Nov 2024