PROGRAM

Click here so see the actual program! Click here so see the abstracts of talks/posters!

Plenary/Public Talks:

There will be two or three extended lectures introducing central concepts of deep learning from a mathematical and machine learning perspective, respectively. The following colleagues have already confirmed their talks: Philipp Grohs, NuHAG, University of Vienna: Deep learning as a mathematician: Conjectures, proofs and open questions Jan Schlueter, Austrian Research Institute for Artificial Intelligence Deep learning as an engineer: The nuts and bolts and dirty tricks