13 citations · 14 across the 4 of their papers we have counts for
4 papers
Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data
Daniel de Barros Soares, François Andrieux, Bastien Hell +5
Estimating the amount of electricity that can be produced by rooftop photovoltaic systems is a time-consuming process that requires on-site measurements, a difficult task to achiev…
About contrastive unsupervised representation learning for classification and its convergence
Ibrahim Merad, Yiyang Yu, Emmanuel Bacry +1
Contrastive representation learning has been recently proved to be very efficient for self-supervised training. These methods have been successfully used to train encoders which pe…
ZiMM: a deep learning model for long term and blurry relapses with non-clinical claims data
Anastasiia Kabeshova, Yiyang Yu, Bertrand Lukacs +2
This paper considers the problems of modeling and predicting a long-term and ``blurry'' relapse that occurs after a medical act, such as a surgery. The relapse is observed only ind…
Sharp oracle inequalities for the prediction of a high-dimensional matrix
Stéphane Gaïffas, Guillaume Lecué
We observe where the 's are real valued outputs and the 's are matrices. We observe a new entry and we want to predict the output …