Frédéric Alexandre Directeur de Recherches (INRIA)

Équipe LaBRI : Bench to Knowledge and Beyond
Courrier électronique :
Bureau : 252
Tél : +33 (0)5 40 00 37 93

Extrait de publications

Pramod Kaushik, Maxime Carrere, Frédéric Alexandre, Surampudi Raju. A biologically inspired neuronal model of reward prediction error computation. IJCNN 2017 - International Joint Conference on Neural Networks, May 2017, Anchorage, United States. pp.8

Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre. Implicit knowledge extraction and structuration from electrical diagrams. The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. 2017

Frédéric Alexandre. Modeling the ventral hippocampus and its role in the limbic system. Journée Scientifique du GDR Neurosciences de la Mémoire, May 2017, Bordeaux, France

Thalita Drumond, Thierry Viéville, Frédéric Alexandre. Using prototypes to improve convolutional networks interpretability. NIPS 2017 - 31st Annual Conference on Neural Information Processing Systems: Transparent and interpretable machine learning in safety critical environments Workshop, Dec 2017, Long Beach, United States

Frédéric Alexandre. What Computational Neuroscience can offer Machine Learning : Autonomous Learning . Workshop on Computational Neuroscience: challenges for the 2030, Jan 2017, Valparaiso, Chile

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