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Some old and some new results on the data-driven modeling of complex systems

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DDEW03 - Computational Challenges and Emerging Tools

I will discuss some ooold and some very recent algorithms and experiences in the computer assisted modeling of complex systems. I will start with recurrent Runge-Kutta ResNets, neural ODEs and PDEs in the 1990s, and come to gauge invariant data mining, emergent spaces, data-driven well-posedness and “learning what to learn” today.

This talk is part of the Isaac Newton Institute Seminar Series series.

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Caius College, Cambridget Max Perutz Lecture Theatre, Medical Research Council (MRC) (MRC Laboratory of Molecular Biol. University of East Anglia, Norwich

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