2021-resources

Resources from events on 2021

7 to 12 of 63

05NOV 2021
2021-resources
Workshop on Non-Linear Analysis and Control Theory in honor of Prof. Enrique Zuazua
Date: November 3rd – 5th, 2021 Title: Workshop on Non-Linear Analysis and Control Theory in honor of Prof. Enrique Zuazua on his 60th birthday || You might like: In honor of Enrique Zuazua’s 60s birthday Speakers Fatiha Alabau- Université de Lorraine, France Grégoire Allaire – Ecole Polytechnique de Paris, France Giuseppe Buttazzo – Università di […]
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27OCT 2021
2021-resources
Numerical methods for random Helmholtz problem
Date: Wed. October 27, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Numerical methods for random Helmholtz problem Speaker: Prof. Dr. Kai Zhang Affiliation: Jilin University (China) Abstract. In this talk, we discuss numerical methods for three kinds of random Helmholtz problems. […]
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22OCT 2021
2021-resources
Analysis of gradient descent on wide two-layer ReLU neural networks
Date: Fri. October 22, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Analysis of gradient descent on wide two-layer ReLU neural networks Speaker: Dr. Lénaïc Chizat Affiliation: EPFL, École Polytechnique Fédérale de Lausanne (Switzerland) Abstract. In this talk, we propose an analysis […]Date: Fri. October 22, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Analysis of gradient descent on wide two-layer ReLU neural networks Speaker: Dr. Lénaïc Chizat Affiliation: EPFL, École Polytechnique Fédérale de Lausanne (Switzerland) Abstract. In this talk, we propose an analysis […]
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13OCT 2021
2021-resources
Towards the optimization of optical properties of particulate products
Date: Wed. October 13, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Towards the optimization of optical properties of particulate products Speaker: Prof. Dr. Michael Stingl Affiliation: Department of Mathematics, Chair of Applied Mathematics (Continuous Optimization) – FAU Erlangen-Nürnberg (Germany) Abstract. Challenges […]Date: Wed. October 13, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Towards the optimization of optical properties of particulate products Speaker: Prof. Dr. Michael Stingl Affiliation: Department of Mathematics, Chair of Applied Mathematics (Continuous Optimization) – FAU Erlangen-Nürnberg (Germany) Abstract. Challenges […]
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08OCT 2021
2021-resources
FAU DCN-AvH and MoD kick-off
On October 8th, our team from FAU DCN-AvH Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship and the team from FAU MoD – Research Center for Mathematics of Data shared an interesting kick-off day at Villa Jordan (Erlangen) where we enjoyed together interesting talks by the FAU MoD’s team and our #FAU […]
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08OCT 2021
2021-resources
On solving/learning differential equations with kernels
Date: Fri. October 08, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: On solving/learning differential equations with kernels Speaker: Prof. Dr. Houman Owhadi Affiliation: Caltech (USA) Abstract. We present a simple, rigorous, and unified framework for solving and learning (possibly nonlinear) differential […]Date: Fri. October 08, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: On solving/learning differential equations with kernels Speaker: Prof. Dr. Houman Owhadi Affiliation: Caltech (USA) Abstract. We present a simple, rigorous, and unified framework for solving and learning (possibly nonlinear) differential […]
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