LE NAOUR Etienne

PhD student
Team : MLIA
Arrival date : 07/15/2021
    Sorbonne Université - LIP6
    Boîte courrier 169
    Couloir 26-00, Étage 5, Bureau 523
    4 place Jussieu
    75252 PARIS CEDEX 05
    FRANCE

Tel: +33 1 44 27 38 11, Etienne.Le-Naour (at) nulllip6.fr
https://lip6.fr/Etienne.Le-Naour

Supervision : Vincent GUIGUE

Co-supervision : BASKIOTIS Nicolas

Pre-trained neural networks for time series with an emphasis on energy application

Pre-trained neural networks have demonstrated their effectiveness in the image framework. Several research papers have shown that the first layers of the network are able to extract general information about the image. Subsequently, it is possible to reuse this information for new tasks. This thesis, co-supervised by EDF R&D and Sorbonne University, aims at finding similar mechanisms applicable to time series