2026-resources

Browse all posts in the 2026-resources category.

3 total

14SEP 2026
2026-resources
FAU/JLU Workshop on Recent Trends in Applied Mathematics and Machine Learning 2026
Date: Thu.- Sat. September 17 – 19, 2026 Event: FAU/JLU Workshop on Recent Trends in Applied Mathematics and Machine Learning 2026 Title: Recent Trends in Applied Mathematics and Machine Learning 2026 This September, Jilin University will host the Workshop on Recent Trends in Applied Mathematics and Machine Learning 2026, organized in collaboration with our FAU […]
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08SEP 2026
2026-resources
Mini Course: Computational PDEs and Scientific Machine Learning
Date: September 21, 23, 25, 28, 2026 Event: Mini Course Organizer: FAU and UFF, CAPES/DAAD PROBRAL. Mini-Course: Computational PDEs and Scientific Machine Learning Speaker: Daniel Fernández Martínez, PhD student at FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship. Friedrich-Alexander-Universität Erlangen-Nürnberg Abstract. This graduate course explores classical and machine […]Date: September 21, 23, 25, 28, 2026 Event: Mini Course Organizer: FAU and UFF, CAPES/DAAD PROBRAL. Mini-Course: Computational PDEs and Scientific Machine Learning Speaker: Daniel Fernández Martínez, PhD student at FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship. Friedrich-Alexander-Universität Erlangen-Nürnberg Abstract. This graduate course explores classical and machine […]
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29JUN 2026
2026-resources
PhD Thesis defense by A. Alvarez-Lopez
Next Wednesday July 1, 2026 our team member Antonio Álvarez-López will present his PhD Thesis on: “Deep Learning with Controlled Flows: Expressivity, Generalization and Generation” Advisors: • Prof. Enrique Zuazua, FAU – Friedrich Alexander-Universität Erlangen-Nürnberg (Germany) • Prof. Rafael Orive, Autonomous University of Madrid (UAM) Abstract. This thesis studies deep learning from the perspective of […]Next Wednesday July 1, 2026 our team member Antonio Álvarez-López will present his PhD Thesis on: “Deep Learning with Controlled Flows: Expressivity, Generalization and Generation” Advisors: • Prof. Enrique Zuazua, FAU – Friedrich Alexander-Universität Erlangen-Nürnberg (Germany) • Prof. Rafael Orive, Autonomous University of Madrid (UAM) Abstract. This thesis studies deep learning from the perspective of […]
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