Wednesday, Nov. 29
Thursday, Nov. 30
Friday, Dec. 1
08:00-09:00 Registration and Coffee
Main Building TU Berlin
- -
09:00-11:00 Klaus-Robert Müller
Explaining nonlinear learning machines and applications
Philipp Grohs
Approximation Theory of Neural Networks
Lars Ruthotto
An Optimal Control Framework for Efficient Training of Deep Neural Networks
11:00-11:30 Coffee Break Coffee Break Coffee Break
11:30-13:30 René Vidal
Global Optimality in Matrix Factorization and Deep Learning
Michael Elad
From Shallow to Deep Sparsity with Convolutional Networks
Julien Mairal
Towards deep kernel machines
Lunch Break
Lunch Break Lunch Break
14:30-16:30 Helmut Bölcskei
Harmonic analysis of deep convolutional neural networks
Gitta Kutyniok
Memory-optimal Deep Neural Networks
Vignesh Srinivasan
Introduction to TensorFlow II
16:30-17:00 Coffee Break Coffee Break -
17:00-19:00 Vignesh Srinivasan
Introduction to TensorFlow I
Wojciech Samek
Towards explainable Deep Learning
20:00 - social event
visit of a christmas market

List of Abstracts