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"

9 / 9 papers shown

Title
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models Weilin Ruan Siru Zhong Haomin Wen Yuxuan Liang AI4TS 64 1 0 16 Feb 2025
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts X. Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 34 24 0 24 Sep 2024
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting Jiaxi Hu Qingsong Wen Sijie Ruan Li Liu Yuxuan Liang AI4TS 26 5 0 06 Jun 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey Yuxuan Liang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen AI4TS AI4CE 84 108 0 21 Mar 2024
Sequence Modeling with Multiresolution Convolutional Memory Jiaxin Shi Ke Alexander Wang E. Fox 34 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 25 22 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 118 165 0 18 May 2022
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 118 198 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 203 2,254 0 18 Oct 2020