Workshop objective

The aim of this workshop is to discuss recent advances in mathematical foundations of machine learning and artificial neural networks, and their application in computational science.

The workshop will bring together experts in such diverse areas as approximation theory, PDEs, scientific computing, networks, computer science, and uncertainty quantification to facilitate the exchange of results and ideas as well as to initiate new collaborations.

The workshop is spread over two days and contains 8 keynote lectures, contributed talks, and a round-table discussion. Registration includes refreshments and lunch on both days.