Program
Time | 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 |
13:30-14:30 | 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 |