Date: Monday, 23 May, 2016 - 11:00
Venue: Aula Master, Campus Nord, UPC
Speaker 1: Joan Bruna (UC Berkeley) Talk1: Convolutional Neural Networks against the Curse of Dimensionality
Speaker 2: Oriol Vinyals (Google DeepMind) Talk 2: Recurrent Neural Nets and Differentiable Memory Mechanism by Oriol Vinyals
Joan Bruna Bio: Joan graduated cum-laude from Universitat Politècnica de Catalunya in both Mathematics and Telecommunications Engineering, before graduating in Applied Mathematics from ENS Cachan (France). He then became a Sr. Research Engineer in an Image Processing startup, developing real-time video processing algorithms. In 2013 he obtained his PhD in Applied Mathematics at École Polytechnique (France). After a postdoctoral stay at the Computer Science department of Courant Institute, NYU, he became a Postdoctoral fellow at Facebook AI Research. Since Jan 2015 he is an Assistant Professor at UC Berkeley, Statistics Department. His research interests include invariant signal representations, deep learning, stochastic processes, and its applications to computer vision.