activity
20172019
most citedLearning to run a power network challenge for training topology controllers

67 citations · 129 across the 5 of their papers we have counts for

collaborators

8 papers

eess.SP201967 cited

Learning to run a power network challenge for training topology controllers

Antoine Marot, Benjamin Donnot, Camilo Romero +4

For power grid operations, a large body of research focuses on using generation redispatching, load shedding or demand side management flexibilities. However, a less costly and pot…

cs.LG20198 cited

Synthetic Event Time Series Health Data Generation

Saloni Dash, Ritik Dutta, Isabelle Guyon +3

Synthetic medical data which preserves privacy while maintaining utility can be used as an alternative to real medical data, which has privacy costs and resource constraints associ…

eess.SP2019

LEAP nets for power grid perturbations

Benjamin Donnot, Balthazar Donon, Isabelle Guyon +4

We propose a novel neural network embedding approach to model power transmission grids, in which high voltage lines are disconnected and reconnected with one-another from time to t…

cs.CV2019

ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition

Jun Wan, Chi Lin, Longyin Wen +7

The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and I…

cs.LG2019

Towards AutoML in the presence of Drift: first results

Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales +5

Research progress in AutoML has lead to state of the art solutions that can cope quite wellwith supervised learning task, e.g., classification with AutoSklearn. However, so far the…

stat.ML201816 cited

Fast Power system security analysis with Guided Dropout

Benjamin Donnot, Isabelle Guyon, Marc Schoenauer +2

We propose a new method to efficiently compute load-flows (the steady-state of the power-grid for given productions, consumptions and grid topology), substituting conventional simu…