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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
Unlocking the Transferability of Tokens in Deep Models for Tabular Data Qi-Le Zhou Han-Jia Ye Le-Ye Wang De-Chuan Zhan 160 10 0 23 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following StrategiesThe Journal of Financial Data Science (JFDS), 2023 Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 162 3 0 16 Oct 2023
Machine learning in physics: a short guideEurophysics letters (EPL), 2023 F. A. Rodrigues PINN AI4CE 105 9 0 16 Oct 2023
Counterfactual Explanations for Time Series ForecastingIndustrial Conference on Data Mining (IDM), 2023 Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 131 7 0 12 Oct 2023
Performative Time-Series Forecasting Zhiyuan Zhao Alexander Rodríguez B. Prakash B. A. Prakash AI4TS 185 6 0 09 Oct 2023
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations Mozes Jacobs Bingni W. Brunton Steven L. Brunton J. Nathan Kutz Ryan V. Raut 106 12 0 07 Oct 2023
An Efficient Content-based Time Series Retrieval SystemInternational Conference on Information and Knowledge Management (CIKM), 2023 Chin-Chia Michael Yeh Huiyuan Chen Xin Dai Yan Zheng Junpeng Wang ... Audrey Der Zhongfang Zhuang Liang Wang Wei Zhang Jeff M. Phillips 100 8 0 05 Oct 2023
Toward a Foundation Model for Time Series DataInternational Conference on Information and Knowledge Management (CIKM), 2023 Chin-Chia Michael Yeh Xin Dai Huiyuan Chen Yan Zheng Yujie Fan ... Vivian Lai Zhongfang Zhuang Junpeng Wang Liang Wang Wei Zhang AI4TS AI4CE 175 30 0 05 Oct 2023
Perceiver-based CDF Modeling for Time Series Forecasting Cat P. Le Chris Cannella Ali Hasan Yuting Ng Vahid Tarokh AI4TS 183 1 0 03 Oct 2023
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time SeriesInternational Conference on Learning Representations (ICLR), 2023 Arjun Ashok Étienne Marcotte Valentina Zantedeschi Nicolas Chapados Alexandre Drouin AI4TS 174 21 0 02 Oct 2023
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer Shubham Agarwal Sarthak Chakraborty Shaddy Garg Sumit Bisht Chahat Jain Ashritha Gonuguntla S. Saini 51 4 0 29 Sep 2023
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series ModelingSDM (SDM), 2023 Shaoming Xu A. Khandelwal Arvind Renganathan Vipin Kumar AI4TS 78 1 0 28 Sep 2023
Unified Long-Term Time-Series Forecasting Benchmark Wenzhuo Zhou Szymon Haponiuk AI4TS 81 2 0 27 Sep 2023
Expressive variational quantum circuits provide inherent privacy in federated learning Niraj Kumar Jamie Heredge Changhao Li Shaltiel Eloul Shree Hari Sureshbabu Marco Pistoia FedML 258 9 0 22 Sep 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online EnsemblingNeural Information Processing Systems (NeurIPS), 2023 Yifan Zhang Qingsong Wen Qingsong Wen Weiqiu Chen Liang Sun Zheng Zhang Liang Wang Rong Jin Tien-Ping Tan AI4TS 123 64 0 22 Sep 2023
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal ModelingIndustrial Conference on Data Mining (IDM), 2023 Kshitij Tayal Arvind Renganathan Rahul Ghosh X. Jia Vipin Kumar SyDa AI4CE 125 7 0 19 Sep 2023
Latent Representation and Simulation of Markov Processes via Time-Lagged Information BottleneckInternational Conference on Learning Representations (ICLR), 2023 Marco Federici Patrick Forré Ryota Tomioka Bastiaan S. Veeling 188 7 0 13 Sep 2023
Spectral Temporal Graph Neural Network for massive MIMO CSI PredictionIEEE Wireless Communications Letters (WCL), 2023 Sharan Mourya Pavan Reddy Saidhiraj Amuru K. Kuchi 77 16 0 10 Sep 2023
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network S. Marvaniya Jitendra Singh Nicolas Galichet Fred Ochieng Otieno Geeth de Mel Kommy Weldemariam AI4TS 150 0 0 05 Sep 2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Shunyang Zhang Senzhang Wang Xianzhen Tan Ruochen Liu Jian Zhang Jianxin Wang 100 10 0 05 Sep 2023
Probabilistic load forecasting with Reservoir ComputingIEEE Access (IEEE Access), 2023 Michele Guerra Simone Scardapane F. Bianchi BDL 103 4 0 24 Aug 2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting Shengsheng Lin Weiwei Lin Wentai Wu Feiyu Zhao Ruichao Mo Haotong Zhang AI4TS 119 91 0 22 Aug 2023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series ForecastersACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 Ching Chang Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 237 99 0 16 Aug 2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced TransformerIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023 Shengsheng Lin Weiwei Lin Wentai Wu Song Wang Yongxiang Wang AI4TS 133 40 0 09 Aug 2023
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series ForecastingNeurocomputing (Neurocomputing), 2023 Christopher Salazar A. Banerjee AI4TS 138 8 0 28 Jul 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series ForecastingInternational Workshop on Complex Networks & Their Applications (CNTA), 2023 Nancy R. Xu Chrysoula Kosma Michalis Vazirgiannis AI4TS AI4CE 91 8 0 27 Jul 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series ForecastingNeural Information Processing Systems (NeurIPS), 2023 Marcel Kollovieh Abdul Fatir Ansari Michael Bohlke-Schneider Jasper Zschiegner Hao Wang Yuyang Wang DiffM AI4TS 204 77 0 21 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 230 270 0 07 Jul 2023
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters M. Sukel Stevan Rudinac Marcel Worring AI4TS 79 1 0 05 Jul 2023
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark StudyArtificial Intelligence Review (AIR), 2023 Matteo Prata Giuseppe Masi Leonardo Berti Viviana Arrigoni Andrea Coletta Irene Cannistraci Svitlana Vyetrenko Paola Velardi N. Bartolini 138 16 0 05 Jul 2023
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series ForecastingIEEE Internet of Things Journal (IEEE IoT J.), 2023 Zhenwei Zhang Linghang Meng Yuantao Gu AI4TS 89 33 0 04 Jul 2023
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey Farhad Pourpanah Ali Etemad 173 8 0 22 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and ProspectsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 330 167 0 16 Jun 2023
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective Time Series ForecastingInternational Conference on Communication Systems and Networks (COMSNETS), 2023 Ebenezer R. H. P. Isaac Bulbul Singh AI4TS 85 0 0 09 Jun 2023
Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge Yvenn Amara-Ouali Y. Goude Nathan Doumèche Pascal Veyret Alexis Thomas ... Aymeric Jan Yannick Deleuze Paul Berhaut Sébastien Treguer Tiphaine Phe-Neau 130 7 0 09 Jun 2023
SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring Amin Shoari Nejad Rocío Alaiz-Rodríguez G. McCarthy Brian Kelleher A. Grey Andrew C. Parnell 96 1 0 05 Jun 2023
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting Donghao Luo Qingsong Wen BDL AI4TS 125 3 0 04 Jun 2023
SANE: The phases of gradient descent through Sharpness Adjusted Number of Effective parameters Lawrence Wang Stephen J. Roberts 142 0 0 29 May 2023
Deep Predictive Coding with Bi-directional Propagation for Classification and ReconstructionNeural Networks (Neural Netw.), 2023 Senhui Qiu S. Bhattacharyya Damien Coyle Shirin Dora 133 2 0 29 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu AI4TS AI4CE 155 1 0 28 May 2023
Forecasting Irregularly Sampled Time Series using GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023 Vijaya Krishna Yalavarthi Kiran Madusudanan Randolf Scholz Nourhan Ahmed Johannes Burchert Shayan Jawed Stefan Born Lars Schmidt-Thieme AI4TS 69 2 0 22 May 2023
A Survey on Time-Series Pre-Trained ModelsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Qianli Ma Ziqiang Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 153 80 0 18 May 2023
Optimization of Residential Demand Response Program Cost with Consideration for Occupants Thermal Comfort and PrivacyIEEE Access (IEEE Access), 2023 Reza Nematirad I. M. M. A. Graduate Student Member A. Khorsandi 61 16 0 14 May 2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems Bin Zhang Hangyu Mao Lijuan Li Zhiwei Xu Dapeng Li Rui Zhao Guoliang Fan OffRL 138 5 0 13 May 2023
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit O. Fitzgerald O. Perez-Concha B. Gallego-Luxan Alejandro Metke-Jimenez Lachlan Rudd Louisa R Jorm BDL OOD AI4TS 111 0 0 14 Apr 2023
Streamlined Framework for Agile Forecasting Model Development towards Efficient Inventory Management Jonathan Hans Soeseno Sergio González Trista Pei-chun Chen AI4TS 58 1 0 13 Apr 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series ForecastingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 154 139 0 11 Apr 2023
Online Spatio-Temporal Learning with Target ProjectionInternational Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2023 Thomas Ortner Lorenzo Pes Joris Gentinetta Charlotte Frenkel A. Pantazi 119 10 0 11 Apr 2023
SoftED: Metrics for Soft Evaluation of Time Series Event DetectionComputers & industrial engineering (CIE), 2023 Rebecca Salles J. Lima R. Coutinho Esther Pacitti F. Masseglia Reza Akbarinia Chao Chen Jonathan M. Garibaldi Fábio Porto Eduardo S. Ogasawara 141 7 0 02 Apr 2023
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting Lars Odegaard Bentsen N. Warakagoda R. Stenbro P. Engelstad AI4TS 41 1 0 23 Mar 2023