2024-resources

Browse all posts in the 2024-resources category.

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07OCT 2024
2024-resources
CIN-PDE 2024 • Conference on Control, Inversion and Numerics for PDEs
Event: CIN-PDE 2024. Conference on Control, Inversion and Numerics for PDEs. Date: Mon.-Thu. October 7 – 10, 2024 Next October, the Fudan University is hosting the 2nd. edition of the CIN-PDE 2024: Conference on Control, Inversion and Numerics for PDEs (CIN-PDE 2024) in collaboration with our our FAU MoD, Research Center for Mathematics of Data […]
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12SEP 2024
2024-resources
FAU MoD Lecture: Thoughts on Machine Learning
Date: Fri. September 20, 2024 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Thoughts on Machine Learning Speaker: Prof. Dr. Rupert Klein Affiliation: Mathematik & Informatik, Freie Universität Berlin (Germany) Abstract. Techniques of machine learning (ML) find a rapidly increasing range […]Date: Fri. September 20, 2024 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Thoughts on Machine Learning Speaker: Prof. Dr. Rupert Klein Affiliation: Mathematik & Informatik, Freie Universität Berlin (Germany) Abstract. Techniques of machine learning (ML) find a rapidly increasing range […]
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07AUG 2024
2024-resources
Course: Control and Machine Learning by E. Zuazua
Date: July 2024 Course: Control and Machine Learning Lecturer: Prof. Enrique Zuazua Recordings S01: Introduction to Control Theory S02: Introduction: Calculus of Variations, Controllability and Optimal Design S03: Introduction: Optimization and Perpectives S04: Finite-dimensional Control Systems (1) S05: Finite-dimensional Control Systems (2) and Gradient-descent methods (1) S06: Gradient-descent methods (2), Duality algorithms, and Controllability (1) […]Date: July 2024 Course: Control and Machine Learning Lecturer: Prof. Enrique Zuazua Recordings S01: Introduction to Control Theory S02: Introduction: Calculus of Variations, Controllability and Optimal Design S03: Introduction: Optimization and Perpectives S04: Finite-dimensional Control Systems (1) S05: Finite-dimensional Control Systems (2) and Gradient-descent methods (1) S06: Gradient-descent methods (2), Duality algorithms, and Controllability (1) […]
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12JUL 2024
2024-resources
FAU DCN-AvH Seminar: Generalization bounds for neural ODEs and Clustering in discrete-time self-attention
Next Thursday July 18, 2024: Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Generalization bounds for neural ODEs and Clustering in discrete-time self-attention Speaker: Lucas Versini Affiliation: Visiting student at FAU DCN-AvH from École Polytechnique Abstract. This presentation details the […]Next Thursday July 18, 2024: Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Generalization bounds for neural ODEs and Clustering in discrete-time self-attention Speaker: Lucas Versini Affiliation: Visiting student at FAU DCN-AvH from École Polytechnique Abstract. This presentation details the […]
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02JUL 2024
2024-resources
FAU DCN-AvH Seminar: Enriched Finite Elements for Wave Propagation and Heat Diffusion using the Partition of Unity Method
Next Thursday July 11, 2024: Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Enriched Finite Elements for Wave Propagation and Heat Diffusion using the Partition of Unity Method Speaker: M. Shadi Mohamed Affiliation: Visiting Scientist at FAU DCN-AvH from Heriot-Watt […]Next Thursday July 11, 2024: Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Enriched Finite Elements for Wave Propagation and Heat Diffusion using the Partition of Unity Method Speaker: M. Shadi Mohamed Affiliation: Visiting Scientist at FAU DCN-AvH from Heriot-Watt […]
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21JUN 2024
2024-resources
FAU DCN-AvH Mini-Workshop
Next Friday June 28, 2024: Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) 14:00H Title: RBM-SVRG: A random-sampling based solver for optimal control problems with variance reduction Speaker: Prof. Byungjoon Lee Affiliation: The Catholic University of Korea Slides Abstract. In this […]Next Friday June 28, 2024: Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) 14:00H Title: RBM-SVRG: A random-sampling based solver for optimal control problems with variance reduction Speaker: Prof. Byungjoon Lee Affiliation: The Catholic University of Korea Slides Abstract. In this […]
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