Event: Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics Date: Sun.-Fri. August 23 – September 04, 2026 Event type: On-site (Benasque) Registration: https://benasque.org/2026pde/cgi-bin/appl.pl Next Summer, on …
MLPDES26, Machine Learning and PDEs Workshop (2026)
Date: Mon.-Wed. June 22 – 24, 2026 Event: MLPDES26, Machine Learning and PDEs Workshop (2026) Host: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Event …
Mathematical Foundations of Machine Learning (MFML 2026)
Event: MFML 2026, Mathematical Foundations of Machine Learning Date: Thu. May 25 – 29, 2026 Lecture: Machine Learning from an Applied Mathematician’s Perspective Speaker: Prof. Enrique Zuazua, FAU – Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. Machine Learning has emerged as one of the most transformative forces in contemporary science and technology. In this three-lecture series, I will …
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 …
MLPDES25, Machine Learning and PDEs Workshop (2025)
Last update: 15.05.2025 On April 28 – 30, 2025, our FAU MoD, Research Center for Mathematics of Data is hosting the “Machine Learning and PDEs” workshop (MLPDES25) supported by …