Workshop “Scientific computation using machine-learning algorithms: recent mathematical advances and applications”, 25-26 April 2019, University of Nottingham UK https://tinyurl.com/sci-comp-and-ml-2019
Over the past decade machine-learning and neural-network methodologies have matured tremendously in the areas of computer vision, language processing and data science, and have given rise to highly innovative and efficient algorithms for a wide-range of data-intensive applications. Theoretical understanding of this remarkable performance of machine learning methodologies is an emerging topic in mathematical research. On the other hand, it has been recognised only recently that these learning methodologies lead to new solution paradigms for the computational applied sciences, with significantly more efficient algorithms and the potential to cause a step change in designing solution techniques for large-scale problems.
The aim of this workshop is to discuss recent advances in mathematical foundations of machine learning and artificial neural networks as well as the application of these methodologies 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 and to initiate new collaborations.
Martin Eigel (WIAS, Germany)
Ahmed Elsheikh (Heriot Watt University, UK)
Jan Hesthaven (EPFL, Switzerland)
Desmond Higham (University of Strathclyde, UK)
Jakub Marecek (IBM Dublin, Ireland)
Kaj Nystrom (Uppsala University, Sweden)
Ivan Oseledets (Skoltech, Russia)
Philipp Petersen (University of Oxford, UK)
The programme will include a small number of contributed talks. Participants wishing to present a contributed talk are invited to submit a title and a short abstract (maximum 1 page) by sending an email to email@example.com
Deadline for abstract submission: 31 March 2019
Deadline for registration: 15 April 2019
Detailed information about the meeting is on the web-page: https://tinyurl.com/sci-comp-and-ml-2019