PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations

25 February 2024

Papers citing "PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations"

8 / 8 papers shown

Title
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations E. L. Naour Louis Serrano Léon Migus Yuan Yin G. Agoua Nicolas Baskiotis Patrick Gallinari Vincent Guigue BDL AI4TS 44 10 0 09 Jun 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 98 756 0 05 Oct 2022
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations Julius Berner Jinxu Xiang D. Cho Yue Chang G. Pershing H. Maia Maurizio M. Chiaramonte Kevin Carlberg E. Grinspun AI4CE 47 40 0 06 Jun 2022
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 84 2,516 0 17 Jun 2020
Learning a Neural 3D Texture Space from 2D Exemplars Philipp Henzler Niloy J. Mitra Tobias Ritschel 3DV 29 89 0 09 Dec 2019
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 181 42,038 0 03 Dec 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 199 5,024 0 19 Jun 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 66 924 0 21 May 2018