A Survey of Deep Learning and Foundation Models for Time Series Forecasting

25 January 2024

Papers citing "A Survey of Deep Learning and Foundation Models for Time Series Forecasting"

20 / 20 papers shown

Title
Retrieval Augmented Time Series Forecasting Sungwon Han Seungeon Lee M. Cha Sercan Ö. Arik Jinsung Yoon AI4TS 33 0 0 07 May 2025
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting Yusuf Meric Karadag Sinan Kalkan Ipek Gursel Dino Mamba AI4TS AI4CE 50 0 0 10 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 27 0 0 05 Apr 2025
EMForecaster: A Deep Learning Framework for Time Series Forecasting in Wireless Networks with Distribution-Free Uncertainty Quantification Xavier Mootoo Hina Tabassum Luca Chiaraviglio AI4TS 33 0 0 31 Mar 2025
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation Daoyu Wang Mingyue Cheng Z. Liu Q. Liu Enhong Chen AI4TS DiffM 47 1 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 38 0 0 18 Feb 2025
Evaluating Time Series Foundation Models on Noisy Periodic Time Series Syamantak Datta Gupta AI4TS 29 0 0 01 Jan 2025
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 33 2 0 07 Oct 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 37 4 0 24 Sep 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting Jianrong Ding Zhanyu Liu Guanjie Zheng Haiming Jin Linghe Kong AI4TS DD 37 3 0 04 Jun 2024
Foundation Models for Structural Health Monitoring Luca Benfenati Daniele Jahier Pagliari Luca Zanatta Yhorman Alexander Bedoya Velez Andrea Acquaviva M. Poncino Enrico Macii Luca Benini Alessio Burrello AI4CE 26 2 0 03 Apr 2024
Opportunities and challenges in the application of large artificial intelligence models in radiology Liangrui Pan Zhenyu Zhao Ying Lu Kewei Tang Liyong Fu Qingchun Liang Shaoliang Peng LM&MA MedIm AI4CE 37 5 0 24 Mar 2024
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape Timothy R. McIntosh Teo Susnjak Tong Liu Paul Watters Malka N. Halgamuge 81 46 0 18 Dec 2023
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting Tian Zhou Ziqing Ma Xue Wang Qingsong Wen Liang Sun Tao Yao Wotao Yin Rong Jin AI4TS 121 167 0 18 May 2022
From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba Xinyuan Qi Kai Hou Tong Liu Zhongzhong Yu Sihao Hu Wenwu Ou AI4TS 40 19 0 17 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing Xiaoyong Jin Youngsuk Park Danielle C. Maddix Bernie Wang Xifeng Yan TTA OOD AI4TS 96 75 0 13 Feb 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,876 0 14 Dec 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,169 0 03 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 228 4,460 0 23 Jan 2020