Mathematical Foundations of Machine Learning (MFML 2026)

Event: MFML 2026, Mathematical Foundations of Machine Learning Date: Thu. May 25 – 29, 2026 Lecture: TBA Speaker: Prof. Enrique Zuazua, FAU – Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Lecturers • Lénaïc Chizat. EPFL • Nicolás García-Trillos. University of Wisconsin-Madison • Guido Montúfar. UCLA | MPI-Leipzig • Enrique Zuazua. FAU WHEN Thu. May 28, 2026 at HH:00H (local …

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JLU Short course: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by E. Zuazua

Event: JLU Short-course Date: Mon.-Tue. July 21-23, 2025 Title: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning Speaker: Prof. Enrique Zuazua. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. Partial Differential Equations (PDEs) form the cornerstone of mathematical modeling in mechanics and the natural sciences, driving advances in analysis, numerical methods, and applied mathematics. Today, the …

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EECI-IGSC 2025 (M18): Control and Machine Learning

Date: June 30 to July 4, 2025 Event: IEECI-IGSC 2025: International Graduate School on Control 2025 Module Control and Machine Learning (M18 DUBROVNIK) Speakers: • Prof. Enrique Zuazua. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg • Prof. Martin Lazar. University of Dubrovnik Outline • Historical preliminaries • Control of linear finite-dimensional systems • The universal approximation theorem • Control …

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Deep Learning with MATLAB

At FAU MoD Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg, we are glad to invite you all to the free (online) two-day course on April 28-29th, 2022 about Deep Learning with MATLAB organized by MathWorks in cooperation with FAU MoD and CMAI (Fairfax, Virginia). It includes a short MATLAB introduction w.r.t. visualization and …

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