EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables

3 August 2022

Papers citing "EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables"

21 / 21 papers shown

Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Ziqiang Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei Jin AI4TS AI4CE 468 1 0 29 Mar 2025
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting Sheo Yon Jhin Jaehoon Lee Minju Jo Seung-Uk Kook Jinsung Jeon Jihyeon Hyeong Jayoung Kim Noseong Park AI4TS 60 20 0 19 Apr 2022
Graph Neural Controlled Differential Equations for Traffic Forecasting Jeongwhan Choi Hwangyong Choi JeeHyun Hwang Noseong Park BDL AI4TS 125 279 1 07 Dec 2021
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting Zheng Fang Qingqing Long Guojie Song Kunqing Xie AI4TS 56 476 0 24 Jun 2021
Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning Fan Chen J. Huang Chunmei Wang Haizhao Yang 46 32 0 15 Dec 2020
A Deep Convolutional Neural Network Model for improving WRF Forecasts Alqamah Sayeed Yunsoo Choi Jia Jung Yannic Lops E. Eslami A. K. Salman AI4Cl 15 39 0 14 Aug 2020
Exchangeable Neural ODE for Set Modeling Yang Li Haidong Yi Christopher M. Bender Siyuan Shan Junier B. Oliva BDL 52 30 0 06 Aug 2020
Learning continuous-time PDEs from sparse data with graph neural networks V. Iakovlev Markus Heinonen Harri Lähdesmäki AI4CE 71 69 0 16 Jun 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 101 472 0 18 May 2020
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series A. Mulyadi E. Jun Heung-Il Suk BDL 80 59 0 02 Mar 2020
Towards Better Forecasting by Fusing Near and Distant Future Visions Jiezhu Cheng Kaizhu Huang Zibin Zheng AI4TS 49 51 0 11 Dec 2019
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 87 154 0 02 Dec 2019
Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova Ricky T. Q. Chen David Duvenaud BDL AI4TS 77 257 0 08 Jul 2019
Deep splitting method for parabolic PDEs C. Beck S. Becker Patrick Cheridito Arnulf Jentzen Ariel Neufeld 54 127 0 08 Jul 2019
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data Tian Guo Tao R. Lin Nino Antulov-Fantulin AI4TS 52 156 0 28 May 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 136 873 0 02 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 406 5,103 0 19 Jun 2018
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 41 755 0 26 Oct 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 106 2,005 0 21 Mar 2017
Autoregressive Convolutional Neural Networks for Asynchronous Time Series Mikolaj Binkowski Gautier Marti Philippe Donnat AI4TS BDL 64 151 0 12 Mar 2017
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 115 1,245 0 19 Aug 2016