Scaling Law for Time Series Forecasting

24 May 2024

Papers citing "Scaling Law for Time Series Forecasting"

32 / 32 papers shown

Title
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Yiming Niu Jinliang Deng Lulu Zhang Zimu Zhou Yongxin Tong AI4TS 129 0 0 09 May 2025
MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling Ronghui Zhang Wenbin Xing Mengran Li Zihan Wang Junzhou Chen Xiaolei Ma Zhiyuan Liu Zhengbing He AI4TS 118 1 0 08 Apr 2025
Explaining Context Length Scaling and Bounds for Language Models Jingzhe Shi Qinwei Ma Hongyi Liu Hang Zhao Jeng-Neng Hwang Lei Li LRM 179 3 0 03 Feb 2025
Scaling-laws for Large Time-series Models Thomas D. P. Edwards James Alvey Justin Alsing Nam H. Nguyen Benjamin Dan Wandelt AI4TS AIFin 56 7 0 22 May 2024
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods Xiangfei Qiu Jilin Hu Lekui Zhou Xingjian Wu Junyang Du ... Chenjuan Guo Aoying Zhou Christian S. Jensen Zhenli Sheng Bin Yang AI4TS 80 78 0 29 Mar 2024
An Analysis of Linear Time Series Forecasting Models William Toner Luke Darlow AI4TS 64 24 0 21 Mar 2024
A decoder-only foundation model for time-series forecasting Abhimanyu Das Weihao Kong Rajat Sen Yichen Zhou AI4TS AI4CE 96 228 0 14 Oct 2023
Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver Marc Finzi Shikai Qiu Andrew Gordon Wilson AI4TS 71 352 0 11 Oct 2023
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 39 512 0 10 Oct 2023
TimeGPT-1 Azul Garza Cristian Challu Max Mergenthaler-Canseco AI4TS 59 108 0 05 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Yuxuan Liang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 82 389 0 03 Oct 2023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters Ching Chang Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 75 53 0 16 Aug 2023
FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu Ailing Zeng Qiang Xu AI4TS 57 96 0 06 Jul 2023
The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets Noam Levi Yaron Oz 79 4 0 26 Jun 2023
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping Zhe Li Shiyi Qi Yiduo Li Zenglin Xu AI4TS 43 111 0 18 May 2023
Direct and indirect evidence of compression of word lengths. Zipf's law of abbreviation revisited Sonia Petrini Antoni Casas-i-Munoz Jordi Cluet-i-Martinell Mengxue Wang C. Bentz R. Ferrer-i-Cancho 28 5 0 17 Mar 2023
TSMixer: An All-MLP Architecture for Time Series Forecasting Si-An Chen Chun-Liang Li Nate Yoder Sercan O. Arik Tomas Pfister AI4TS 54 173 0 10 Mar 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 73 412 0 23 Feb 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Yuqi Nie Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AIFin AI4TS 72 1,332 0 27 Nov 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 125 779 0 05 Oct 2022
Are Transformers Effective for Time Series Forecasting? Ailing Zeng Mu-Hwa Chen L. Zhang Qiang Xu AI4TS 141 1,714 0 26 May 2022
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 180 1,936 0 29 Mar 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 204 1,393 0 30 Jan 2022
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 99 2,224 0 24 Jun 2021
Scaling Vision Transformers Xiaohua Zhai Alexander Kolesnikov N. Houlsby Lucas Beyer ViT 128 1,080 0 08 Jun 2021
Pay Attention to MLPs Hanxiao Liu Zihang Dai David R. So Quoc V. Le AI4CE 108 659 0 17 May 2021
Explaining Neural Scaling Laws Yasaman Bahri Ethan Dyer Jared Kaplan Jaehoon Lee Utkarsh Sharma 54 260 0 12 Feb 2021
A Neural Scaling Law from the Dimension of the Data Manifold Utkarsh Sharma Jared Kaplan 53 53 0 22 Apr 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 522 4,773 0 23 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 354 42,299 0 03 Dec 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting Rajat Sen Hsiang-Fu Yu Inderjit Dhillon AI4TS 93 354 0 09 May 2019
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 86 4,789 0 04 Mar 2018