Thanks to Thanh Binh Nguyen for Orléans pictures.


One-day Workshop on

Machine Learning and Explainability

8 October 2018

Hotel Dupanloup, Orléans, France

With the advent of new deep learning methods,  models learned by Machine Learning are often seen as blakboxes that are difficult to interpret. The ability to understand the meaning and properties of results produced by ML-based tools, in other words the explainability becomes crucial both for ethical purposes and to allow their use in operational conditions. The main objective of this workshop is to bring together researchers working on the topic of explicability for Machine Learning. It will present some contributions to the field and allow to discuss new challenges in this domain. Participants have the opportunity to make an oral presentation. Oral presentations will be accepted mainly based on the relevance to the topic of the workshop.The edition of post-proceedings will be considered.

If you wish to make an oral presentation, please send a 1-page summary of your talk to Christel Vrain
before September 15.

Scientific Committee
Christel Vrain, University of Orléans
Christophe Denis, EDF R&D and Sorbonne University
Jean-Gabriel Ganascia, Sorbonne Université, LIP6
Florence d'Alché-Buc, Télécom ParisTech

Christel Vrain, University of Orléans

Isabelle Renard, University of Orléans

Invited speakers

Registration is free but mandatory  (before October, 2) for organization reasons.  Lunch is not included is the registration but there are many restaurants not far from Hotel Dupanloup, mainly in Rue de Bourgogne

This workshop is supported by