Confidence-Aware Graph Neural Networks for Learning Reliability
Assessment Commitments

Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments

28 November 2022

Mathieu Tanneau

Pascal Van Hentenryck

Papers citing "Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments"

5 / 5 papers shown

Title
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning Minas Chatzos Terrence W.K. Mak Pascal Van Hentenryck AI4CE 35 38 0 17 Jan 2021
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 107 238 0 23 Dec 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 21 16 0 05 May 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 76 160 0 19 Sep 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015