August 04 - 07, 2021 (previously planned for February 22 - 25, 2021)
Center for Interdisciplinary Research (ZiF), Bielefeld University

The conference will take place in a hybrid format, allowing both in person and online attendance. The submission of contributed talks and posters is now closed. Registration for online participation is still open. Please register with Marina Hoffmann.

In recent years, machine learning algorithms have seen an unprecedented success in a variety of fields, ranging from science and engineering to medicine and social sciences. As a result, artificial intelligence has been identified as one of the key technologies for future social and economic advance. With its rising importance also in failure sensitive systems, for example in medical devices and autonomous driving, the need for a systematic understanding of the functionality of machine learning algorithms and for guarantees on their accuracy and precision becomes vital. This calls for the development of a mathematical understanding of the structures and mechanism underlying the success of machine learning techniques. This endeavor has seen a significant increase of interest and efforts in recent years, crucially relying on interdisciplinary interaction, communicating mathematical progress and empirical research. The proposed conference is aimed as a contribution to this rapidly developing field, by bringing together experts from various mathematical areas with shared interest in applications to machine learning and experts from fields such as computer science and biology.

August 04 - 07, 2021 (previously planned for February 22 - 25, 2021)
Center for Interdisciplinary Research (ZiF), Bielefeld University
Methoden 1
33615 Bielefeld

Benjamin Gess, MPI for Mathematics in the Sciences & Universität Bielefeld

Guido Montúfar, MPI for Mathematics in the Sciences & UCLA

Nihat Ay
Hamburg University of Technology
Institute of Data Science Foundations