Talk Biography
24 May 2017 at 02:30 - 03:30 | N4.022 (EI Dept. meeting room / 4th floor, north building)

Geometry of Neural Networks

ORGANIZERS
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Scientific Coordination Office
Guidomontufar

Deep Learning is one of the most successful machine learning approaches to artificial intelligence. In this talk I discuss the geometry of neural networks as a way to study the success of Deep Learning at a mathematical level and to develop a theoretical basis for making further advances, especially in situations with limited amounts of data and challenging problems in reinforcement learning. I present a few recent results on the representational power of neural networks and then demonstrate how to align this with structures from perception-action problems in order to obtain more efficient learning systems.

Speaker Biography

Guido Montúfar (Max Planck Institute for Mathematics in the Sciences)