Attractor Memory for Long-Term Time Series Forecasting: A Chaos
Perspective

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective

18 February 2024

Ming Jin

Papers citing "Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective"

10 / 10 papers shown

Title
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models Weilin Ruan Siru Zhong Haomin Wen Keli Zhang AI4TS 79 1 0 16 Feb 2025
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 46 32 0 24 Sep 2024
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting Jiaxi Hu Qingsong Wen Sijie Ruan Li Liu Yuxuan Liang AI4TS 41 5 0 06 Jun 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey Keli Zhang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen AI4TS AI4CE 91 117 0 21 Mar 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Keli Zhang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 53 361 0 03 Oct 2023
Sequence Modeling with Multiresolution Convolutional Memory Jiaxin Shi Ke Alexander Wang E. Fox 42 13 0 02 May 2023
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 44 25 0 07 Oct 2022
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 121 171 0 18 May 2022
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 126 202 0 28 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 262 2,309 0 18 Oct 2020