ExARNN: An Environment-Driven Adaptive RNN for Learning Non-Stationary Power Dynamics

23 May 2025

Papers citing "ExARNN: An Environment-Driven Adaptive RNN for Learning Non-Stationary Power Dynamics"

7 / 7 papers shown

Title
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 136 483 0 18 May 2020
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 110 815 0 10 Jun 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 521 5,180 0 19 Jun 2018
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 180 1,637 0 27 Sep 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 327 1,956 0 06 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.4K 195,011 0 10 Dec 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 612 8,036 0 13 Jun 2015