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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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  • DeustoCCM Seminar: On the existence of stationary solutions for certain systems of integro-differential equations with the double scale anomalous diffusion
  • DeustoCCM Seminar: Energy spectra for Light-Matter Interactions
  • NUS Colloquium Series: Machine Learning and Learning Systems by E. Zuazua
  • Springer Nature – Celebrating Enrique Zuazua at 65: Control, PDEs and Machine Learning
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