Mox Colloquia


Since 2024, the MOX COLLOQUIA seminars have been hosted by SpringerNature on the Springer Mathematics & Statistics webinar channel via the Cassyni platform, making them freely accessible to the scientific community.

To (freely) subscribe and stay updated, please register here: https://cassyni.com/s/mox-colloquia.

MOX Colloquia Scientific Committee: Paola F. Antonietti, Gabriele Ciaramella, Laura Sangalli.
MOX Colloquia Organizing Committee: Gabriele Ciaramella, Laura Sangalli.

2026
2025
2024
2023
2022
2021
2020
2019
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10 Dec 2020

Enrique Zuazua

Turnpike control and deep learning

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12 Nov 2020

Omar Ghattas

Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems

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29 Oct 2020

Jan S. Hesthaven

Nonintrusive reduced order models using physics informed neural networks

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17 Sep 2020

Maxime Sermesant

Artificial Intelligence and Personalised Cardiac Modelling: Learning by Heart

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16 Jul 2020

Gitta Kutyniok

Deep Learning meets Parametric Partial Differential Equations

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25 Jun 2020

George Karniadakis

Physics-Informed Neural Networks (PINNs): An alphabet of Algorithms for Diverse Applications

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30 Jan 2020

Pierluigi Contucci

A mathematical-physics approach to machine learning

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23 Jan 2020

Alessandro Verri

Going deep into shallowness