Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems

11 June 2022

Papers citing "Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems"

9 / 9 papers shown

Title
A Survey for Solving Mixed Integer Programming via Machine Learning Jiayi Zhang Chang-rui Liu Junchi Yan Xijun Li Hui-Ling Zhen Mingxuan Yuan AI4CE 51 73 0 06 Mar 2022
Learning Primal Heuristics for Mixed Integer Programs Yunzhuang Shen Yuan Sun Andrew Craig Eberhard Xiaodong Li AI4CE 37 25 0 02 Jul 2021
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 66 191 0 25 Apr 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 53 357 0 18 Feb 2021
Hybrid Models for Learning to Branch Prateek Gupta Maxime Gasse Elias Boutros Khalil M. P. Kumar Andrea Lodi Yoshua Bengio GNN 138 126 0 26 Jun 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 116 202 0 19 Sep 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi GNN CML 128 483 0 04 Jun 2019
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems Á. Xavier F. Qiu Shabbir Ahmed 43 146 0 04 Feb 2019
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 276 18,587 0 06 Feb 2015