Resources

Resources: slides, recordings, videos, software, libraries, etc.

79 to 84 of 202

18AUG 2024
EZuazua
Benasque X Workshop-Summer School 2024: Partial differential equations, optimal design and numerics
This Summer, on August 18 – 30, 2024 will be held the Benasque X Workshop-Summer School 2024: Partial differential equations, optimal design and numerics at the Benasque Center for Science in the Spanish Pyrenees (300Kms. northwest from Barcelona). The main purpose of this X Workshop-Summer School is to build an opportunity between young researchers and […]
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12AUG 2024
EZuazua
Oberwolfach Seminar: Control and Machine Learning
On November 24 – 29, 2024, Prof. Enrique Zuazua joint with Borjan Geshkovski (Cambridge) and Domènec Ruiz-Balet (London) are organizing the Oberwolfach Seminar: Control and Machine Learning (2448b) at the Mathematisches Forschungsinstitut Oberwolfach (Germany). This week-long seminar (2448b) will provide an overview of the recent developments and new horizons of the burgeoning field found at […]On November 24 – 29, 2024, Prof. Enrique Zuazua joint with Borjan Geshkovski (Cambridge) and Domènec Ruiz-Balet (London) are organizing the Oberwolfach Seminar: Control and Machine Learning (2448b) at the Mathematisches Forschungsinstitut Oberwolfach (Germany). This week-long seminar (2448b) will provide an overview of the recent developments and new horizons of the burgeoning field found at […]
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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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30JUL 2024
2023-resources
AI-based Diagnosis of Combustion Anomalies in Hydrogen Engines
Master Thesis: “AI-based Diagnosis of Combustion Anomalies in Hydrogen Engines” Author: Arun Sai Thunga Supervisor: Prof. Enrique Zuazua Date: June 30, 2024 In the field of automobile maintenance, a wide range of sensors are useful for capturing the signals inside the combustion chamber of engines. Addressing the intricacies of anomaly detection in H2 engine combustion […]
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26JUL 2024
EZuazua
CIME summer school on PDEs, Control and Deep Learning
This summer, Prof. Enrique Zuazua (Friedrich-Alexander-Universität Erlangen-Nürnberg) joint with Prof. Giuseppe M. Coclite (Politecnico di Bari) are organizing the “PDEs, Control and Deep Learning” Summer School on July 22-26, 2024 in Cetraro (Cosenza, Italy), supported by our Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH) at FAU, Friedrich-Alexander-Universität […]This summer, Prof. Enrique Zuazua (Friedrich-Alexander-Universität Erlangen-Nürnberg) joint with Prof. Giuseppe M. Coclite (Politecnico di Bari) are organizing the “PDEs, Control and Deep Learning” Summer School on July 22-26, 2024 in Cetraro (Cosenza, Italy), supported by our Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH) at FAU, Friedrich-Alexander-Universität […]
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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 […]
Read more about FAU DCN-AvH Seminar: Generalization bounds for neural ODEs and Clustering in discrete-time self-attention