165 citations · 820 across the 42 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…
The Tracking Machine Learning challenge : Accuracy phase
Sabrina Amrouche, Laurent Basara, Paolo Calafiura +24
This paper reports the results of an experiment in high energy physics: using the power of the "crowd" to solve difficult experimental problems linked to tracking accurately the tr…
AutoML @ NeurIPS 2018 challenge: Design and Results
Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon +5
We organized a competition on Autonomous Lifelong Machine Learning with Drift that was part of the competition program of NeurIPS 2018. This data driven competition asked participa…