Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach

14 June 2019

Papers citing "Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach"

5 / 5 papers shown

Title
Provable approximation properties for deep neural networks Uri Shaham A. Cloninger Ronald R. Coifman 105 230 0 24 Sep 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 219 18,534 0 06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.1K 99,991 0 04 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 173 4,041 0 09 Jun 2014
Early stopping and non-parametric regression: An optimal data-dependent stopping rule Garvesh Raskutti Martin J. Wainwright Bin Yu 67 299 0 15 Jun 2013