MOX Colloquia
Since 2024, the MOX Colloquia seminars have been hosted by Springer Nature on the Springer Mathematics & Statistics webinar channel via the Cassyni platform, making them freely accessible to the scientific community.
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10 Dec 2020
Enrique Zuazua
Turnpike control and deep learning
University of Erlangen-Nuremberg
12 Nov 2020
Omar Ghattas
Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems
Oden Institute for Computational Science & Engineering, The University of Texas at Austin (USA)
29 Oct 2020
Jan S. Hesthaven
Nonintrusive reduced order models using physics informed neural networks
Chair of Computational Mathematics and Simulation Science, EPFL, Lausanne, CH
17 Sep 2020
Maxime Sermesant
Artificial Intelligence and Personalised Cardiac Modelling: Learning by Heart
INRIA
16 Jul 2020
Gitta Kutyniok
Deep Learning meets Parametric Partial Differential Equations
Institute of Mathematics, Technische Universität Berlin (DE)
25 Jun 2020
George Karniadakis
Physics-Informed Neural Networks (PINNs): An alphabet of Algorithms for Diverse Applications
Brown University (USA)
30 Jan 2020
Pierluigi Contucci
A mathematical-physics approach to machine learning
Dipartimento di Matematica Università di Bologna
23 Jan 2020
Alessandro Verri
Going deep into shallowness
MaLGa - Università di Genova