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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
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities Jingge Xiao Yile Chen Gao Cong Wolfgang Nejdl Simon Gottschalk AI4TS 175 0 0 30 Oct 2024
Temporal Streaming Batch Principal Component Analysis for Time Series Classification Enshuo Yan Huachuan Wang Weihao Xia 54 0 0 28 Oct 2024
Federated Time Series Generation on Feature and Temporally Misaligned Data Chenrui Fan Chenrui Fan Aditya Shankar Abele Malan Lydia Y. Chen FedML AI4TS 199 0 0 28 Oct 2024
EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals ForecastingACM International Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 2024 Zekun Jiang Wei Dai Qu Wei Ziyuan Qin Kang Li Le Zhang DiffM MedIm 97 0 0 22 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 789 1 0 22 Oct 2024
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling Can Chen Gabriel Oliveira Hossein Sharifi-Noghabi Tristan Sylvain AI4TS 120 3 0 21 Oct 2024
Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment Liangwei Nathan Zheng Chang George Dong Wei Emma Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen AI4TS 775 2 0 16 Oct 2024
Exploiting Memory-aware Q-distribution Prediction for Nuclear Fusion via Modern Hopfield NetworkInternational Conference on Advances in Brain Inspired Cognitive Systems (ICABICS), 2024 Qingchuan Ma Shiao Wang Tong Zheng Xiaodong Dai Longji Xu Qingquan Yang Xiao Wang 127 3 0 11 Oct 2024
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions Saeed Rahmani Sabine Rieder Erwin de Gelder Marcel Sonntag Jorge Lorente Mallada Sytze Kalisvaart Vahid Hashemi Simeon C. Calvert 152 1 0 11 Oct 2024
Repurposing Foundation Model for Generalizable Medical Time Series Classification Nan Huang Haishuai Wang Zihuai He Marinka Zitnik Xiang Zhang AI4TS OOD 163 4 0 03 Oct 2024
Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts Dalin Qin Yehui Li Weiqi Chen Zhaoyang Zhu Qingsong Wen Liang Sun Pierre Pinson Yi Wang AI4TS 76 2 0 29 Sep 2024
Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024 Ujjawal Sharma Madhav Biyani Akhil Dev Suresh Debi Prasad Bhuyan Saroj Kanta Mishra Tanmoy Chakraborty 36 0 0 25 Sep 2024
Generative AI-driven forecasting of oil production Yash Gandhi Kexin Zheng Birendra Jha K. Nomura A. Nakano P. Vashishta R. Kalia 136 1 0 24 Sep 2024
Test Time Learning for Time Series Forecasting Panayiotis Christou Shichu Chen Xupeng Chen Parijat Dube AI4TS 140 2 0 21 Sep 2024
Practical Forecasting of Cryptocoins Timeseries using Correlation PatternsDistributed Event-Based Systems (DEBS), 2023 Pasquale De Rosa Pascal Felber V. Schiavoni AI4TS 71 2 0 05 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 492 67 0 30 Aug 2024
Distributed Lag Transformer based on Time-Variable-Aware Learning for Explainable Multivariate Time Series Forecasting Younghwi Kim Dohee Kim Joongrock Kim Sunghyun Sim AI4TS 84 0 0 29 Aug 2024
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction Ivan Karpukhin Ivan A Kireev 122 6 0 23 Aug 2024
Correlation Analysis of Adversarial Attack in Time Series ClassificationInternational Conference on Advanced Data Mining and Applications (ADMA), 2024 Zhengyang Li Wenhao Liang Chang Dong L. Yao Dong Huang AAML 124 0 0 21 Aug 2024
An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains Weijie Xia Gao Peng Chenguang Wang Peter Palensky Eric Pauwels Pedro P. Vergara 139 1 0 15 Aug 2024
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised PretrainingInternational Conference on Information and Knowledge Management (CIKM), 2024 Audrey Der Chin-Chia Michael Yeh Xin Dai Huiyuan Chen Yan Zheng ... Vivian Lai Junpeng Wang Liang Wang Wei Zhang Eamonn J. Keogh AI4TS 94 1 0 15 Aug 2024
Active Learning for WBAN-based Health MonitoringACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2024 Cho-Chun Chiu Tuan Nguyen Ting He Maroun Touma Beom-Su Kim Ki-Il Kim 29 1 0 05 Aug 2024
Quantile Regression using Random Forest ProximitiesInternational Conference on AI in Finance (ICAF), 2024 Mingshu Li Bhaskarjit Sarmah Dhruv Desai Joshua Rosaler Snigdha Bhagat Philip Sommer Dhagash Mehta 180 5 0 05 Aug 2024
Deep Learning for Options Trading: An End-To-End Approach Wee Ling Tan Stephen J. Roberts S. Zohren 67 3 0 31 Jul 2024
Time series forecasting with high stakes: A field study of the air cargo industry Abhinav Garg Naman Shukla Maarten Wormer AI4TS 64 2 0 29 Jul 2024
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry AI4TS 166 2 0 29 Jul 2024
DAM: Towards A Foundation Model for Time Series Forecasting L. N. Darlow Qiwen Deng Ahmed Hassan Martin Asenov Rajkarn Singh Artjom Joosen Adam Barker Amos Storkey AI4TS AI4CE 126 6 0 25 Jul 2024
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks Xiaotong Sun Peijie Qiu Shengfan Zhang OffRL 148 1 0 19 Jul 2024
Omni-Dimensional Frequency Learner for General Time Series Analysis Xianing Chen Hanting Chen Hailin Hu AI4TS 150 0 0 15 Jul 2024
Macroeconomic Forecasting with Large Language Models Andrea Carriero Davide Pettenuzzo Shubhranshu Shekhar 222 8 0 01 Jul 2024
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization Sheo Yon Jhin Seojin Kim Noseong Park AI4TS 160 12 0 29 Jun 2024
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars Wesley Brewer Aditya Kashi Sajal Dash A. Tsaris Junqi Yin Mallikarjun Shankar Feiyi Wang 116 1 0 24 Jun 2024
Conformal time series decomposition with component-wise exchangeability Mark Bodracska Thijmen Nijdam Putri A. van der Linden Alexander Timans 260 3 0 24 Jun 2024
Placing Timely Refreshing Services at the Network Edge Xishuo Li Shan Zhang Hongbin Luo Xiao Ma Junyi He 88 4 0 24 Jun 2024
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? Ivan Karpukhin F. Shipilov Ivan A Kireev AI4TS 159 9 0 20 Jun 2024
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges Yuqi Nie Yaxuan Kong Xiaowen Dong John M. Mulvey H. Vincent Poor Qingsong Wen Stefan Zohren AIFin 177 95 0 15 Jun 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning Haoxin Liu Harshavardhan Kamarthi Lingkai Kong Zhiyuan Zhao Chao Zhang B. Aditya Prakash OODD OOD AI4TS 136 18 0 13 Jun 2024
Applications of Explainable artificial intelligence in Earth system science Feini Huang Shijie Jiang Lu Li Yongkun Zhang Ye Zhang Ruqing Zhang Qingliang Li Danxi Li Wei Shangguan Yongjiu Dai 127 3 0 12 Jun 2024
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space ModelsNeural Information Processing Systems (NeurIPS), 2024 Ali Behrouz Michele Santacatterina Ramin Zabih Mamba AI4TS 141 8 0 06 Jun 2024
A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction Wei Chen Yuanyuan Yang Jianyu Liu 140 1 0 05 Jun 2024
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks Aref Einizade Fragkiskos D. Malliaros Jhony H. Giraldo AI4TS 120 1 0 29 May 2024
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction Kai Zhao Zuojie He A. Hung Dan Zeng AI4TS 142 1 0 26 May 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting Xiuding Cai Yaoyao Zhu Xueyao Wang Yu Yao Mamba AI4TS 154 15 0 26 May 2024
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting Sepehr Sharifi Andrea Stocco Lionel C. Briand AI4TS 158 1 0 21 May 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation Shunyang Zhang Senzhang Wang Hao Miao Hao Chen Changjun Fan Jian Zhang 124 11 0 21 May 2024
Review of deep learning models for crypto price prediction: implementation and evaluation Jingyang Wu Xinyi Zhang Fangyixuan Huang Haochen Zhou Rohtiash Chandra 143 7 0 19 May 2024
UniCL: A Universal Contrastive Learning Framework for Large Time Series Models Jiawei Li Jingshu Peng Haoyang Li Lei Chen AI4TS 147 4 0 17 May 2024
Optimizing Sales Forecasts through Automated Integration of Market Indicators Lina Döring Felix Grumbach Pascal Reusch 51 4 0 15 May 2024
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis Cristian J. Vaca-Rubio Luis Blanco Roberto Pereira Marius Caus AI4TS 155 155 0 14 May 2024
Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation Antonio Malpica-Morales M. Durán-Olivencia S. Kalliadasis AI4TS 97 1 0 12 May 2024