Dear all,

In November we will have two in person talks in the thematic seminar in rapid succession at the UvA.

- On Thursday November 10 Damien Garreau from the Université Côte d'Azur will speak about his analysis of the popular LIME method for explainable machine learning. - And on November 14 or 15, Umut Şimşekli from INRIA/École Normale Supérieure will speak about his new generalization bounds for deep neural networks.

*Damien Garreau *(Université Côte d'Azur, https://sites.google.com/view/damien-garreau/home)

*Thursday November 10*, 16h00-17h00 In person, at the University of Amsterdam Room: TBA * **What does LIME really see in images?

*The performance of modern algorithms on certain computer vision tasks such as object recognition is now close to that of humans. This success was achieved at the price of complicated architectures depending on millions of parameters and it has become quite challenging to understand how particular predictions are made. Interpretability methods propose to give us this understanding. In this talk, I will present a recent result about LIME, perhaps one of the most popular methods. * *

*Upcoming talks: *- Nov. 14 or 15, Umut Şimşekli https://www.di.ens.fr/~simsekli/ from INRIA/École Normale Supérieure will speak about new generalization bounds for deep neural networks. **

Seminar organizers: Tim van Erven Botond Szabo

https://mschauer.github.io/StructuresSeminar/