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Control and Deep Learning: Some connections

B. Geshkovski, E. Zuazua.  Control and Deep Learning: Some connections (2021)

This note is an extended abstract for a talk given by the second author during the workshop ”Challenges in Optimization with Complex PDE-Systems”, at Oberwolfach, in February 2021.

It is superfluous to state the impact that deep learning has had on modern technology, as it powers many tools of modern society, ranging from web search to content filtering on social networks. A key paradigm of deep learning is that of supervised learning, which may be seen as a compound and high-dimensional simultaneous control problem. This is the viewpoint adopted by our group. And here we present some of our main findings.

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  • Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics
  • The Mathematics of Scientific Machine Learning and Digital Twins
  • DeustoCCM Seminar: Research on Control Problems of Several Types of Infinite-Dimensional Systems
  • DeustoCCM Seminar: Developing Mathematical and Physical Tools for Multiscale Dynamical Systems. Applications to Neurophysiological Data
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