Time Series Forecasting With Deep Learning: A Survey

28 April 2020

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

50 / 282 papers shown

Title
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling Shaoming Xu A. Khandelwal Arvind Renganathan Vipin Kumar AI4TS 26 1 0 28 Sep 2023
Unified Long-Term Time-Series Forecasting Benchmark Wenzhuo Zhou Szymon Haponiuk AI4TS 23 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 54 8 0 22 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
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling Kshitij Tayal Arvind Renganathan Rahul Ghosh X. Jia Vipin Kumar SyDa AI4CE 52 5 0 19 Sep 2023
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck Marco Federici Patrick Forré Ryota Tomioka Bastiaan S. Veeling 18 3 0 13 Sep 2023
Spectral Temporal Graph Neural Network for massive MIMO CSI Prediction Sharan Mourya Pavan Reddy Saidhiraj Amuru K. Kuchi 8 6 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 11 0 0 05 Sep 2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation Shunyang Zhang Senzhang Wang Xianzhen Tan Ruochen Liu Jian Zhang Jianxin Wang 25 4 0 05 Sep 2023
Probabilistic load forecasting with Reservoir Computing Michele Guerra Simone Scardapane F. Bianchi BDL 16 3 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 23 51 0 22 Aug 2023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters Ching Chang Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 38 45 0 16 Aug 2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer Shengsheng Lin Weiwei Lin Wentai Wu Song Wang Yongxiang Wang AI4TS 30 18 0 09 Aug 2023
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting Christopher Salazar A. Banerjee AI4TS 18 2 0 28 Jul 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting Nancy R. Xu Chrysoula Kosma Michalis Vazirgiannis AI4TS AI4CE 32 6 0 27 Jul 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting Marcel Kollovieh Abdul Fatir Ansari Michael Bohlke-Schneider Jasper Zschiegner Hao Wang Yuyang Wang DiffM AI4TS 20 44 0 21 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon C. Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 41 143 0 07 Jul 2023
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters M. Sukel S. Rudinac M. Worring AI4TS 26 1 0 05 Jul 2023
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study Matteo Prata Giuseppe Masi Leonardo Berti Viviana Arrigoni Andrea Coletta Irene Cannistraci Svitlana Vyetrenko Paola Velardi N. Bartolini 16 8 0 05 Jul 2023
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting Zhenwei Zhang Linghang Meng Yuantao Gu AI4TS 22 13 0 04 Jul 2023
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey Farhad Pourpanah Ali Etemad 24 4 0 22 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 114 102 0 16 Jun 2023
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective Time Series Forecasting Ebenezer R. H. P. Isaac Bulbul Singh AI4TS 20 1 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 18 5 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 13 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 Xue Wang BDL AI4TS 11 2 0 04 Jun 2023
SANE: The phases of gradient descent through Sharpness Adjusted Number of Effective parameters Lawrence Wang Stephen J. Roberts 22 0 0 29 May 2023
Deep Predictive Coding with Bi-directional Propagation for Classification and Reconstruction Senhui Qiu S. Bhattacharyya Damien Coyle Shirin Dora 9 1 0 29 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis D. Mocanu AI4TS AI4CE 24 1 0 28 May 2023
Forecasting Irregularly Sampled Time Series using Graphs Vijaya Krishna Yalavarthi Kiran Madusudanan Randolf Scholz Nourhan Ahmed Johannes Burchert Shayan Jawed Stefan Born Lars Schmidt-Thieme AI4TS 19 2 0 22 May 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Z. Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 26 50 0 18 May 2023
Optimization of Residential Demand Response Program Cost with Consideration for Occupants Thermal Comfort and Privacy Reza Nematirad I. M. M. A. Graduate Student Member A. Khorsandi 9 10 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 31 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 24 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 11 1 0 13 Apr 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 23 83 0 11 Apr 2023
Online Spatio-Temporal Learning with Target Projection Thomas Ortner Lorenzo Pes Joris Gentinetta Charlotte Frenkel A. Pantazi 18 7 0 11 Apr 2023
SoftED: Metrics for Soft Evaluation of Time Series Event Detection Rebecca Salles J. Lima R. Coutinho Esther Pacitti F. Masseglia Reza Akbarinia Chao Chen Jonathan M. Garibaldi Fábio Porto Eduardo S. Ogasawara 19 2 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 13 1 0 23 Mar 2023
Hybrid Variational Autoencoder for Time Series Forecasting Borui Cai Shuiqiao Yang Longxiang Gao Yong Xiang BDL AI4TS 34 13 0 13 Mar 2023
Model scale versus domain knowledge in statistical forecasting of chaotic systems W. Gilpin AI4TS 30 13 0 13 Mar 2023
TSMixer: An All-MLP Architecture for Time Series Forecasting Si-An Chen Chun-Liang Li Nate Yoder Sercan Ö. Arik Tomas Pfister AI4TS 28 153 0 10 Mar 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System Chao Xue W. Liu Shunxing Xie Zhenfang Wang Jiaxing Li ... Shi-Yong Chen Yibing Zhan Jing Zhang Chaoyue Wang Dacheng Tao 37 2 0 01 Mar 2023
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting Tianli Guo AI4TS 25 0 0 22 Feb 2023
Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies Wee Ling Tan Stephen J. Roberts S. Zohren AI4TS AIFin 11 10 0 20 Feb 2023
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand Yiwei Fu Nurali Virani Honggang Wang AI4TS 16 4 0 14 Feb 2023
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape Fynn Oldenburg Qiwei Han Maximilian Kaiser 18 1 0 11 Feb 2023
Online Resource Allocation: Bandits feedback and Advice on Time-varying Demands Lixing Lyu Wang Chi Cheung 11 0 0 08 Feb 2023
DeepVATS: Deep Visual Analytics for Time Series V. Rodríguez-Fernández David Montalvo F. Piccialli Grzegorz J. Nalepa David Camacho AI4TS 19 7 0 08 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang X. Wang AI4TS 31 33 0 07 Feb 2023