Master Thesis: “Machine Learning: Publisher Recommendation Model” Author: Mohammed Quaidjohar Husain Supervisor: Prof. Dr. DhC. Enrique Zuazua Date: July 7, 2023 The exponential rise of digital content in recent years, along with the spread of inter- net platforms, has led to an excessive influx of data from all sources, which […]
EZuazua Akademy
19 posts
Master Thesis: “Gradient Descent on Wide Neural Networks and Federated Learning” Author: Gisele Stephanie Otiobo Supervisor: Prof. Dr. DhC. Enrique Zuazua Date: May 20, 2023 Deep neural networks are very complex and difficult to understand due to their intricate structure and a vast number of parameters. The relationship between parameters […]
Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE 2022 Course) _ This course gives a general introduction and some recent developments on the interface between Control, Numerics, and Machine Learning (Supervised Learning and Universal Approximation). The first part of the course is […]
Course: Control and optimization for non-local and fractional differential equations Period: Summer 2022 (August 1st – August 12nd, 2022) I. Introduction to Control Theory • Lecture 1: Introduction to Control Theory • Lecture 2: Introduction to Control Theory II. Non-local in time models • Lecture 3: ODE and ODE with […]
Date: July 9 – 26, 2021 (4 weeks) Organized by: Tianyuan Mathematical Center in Northeast China and Jilin University China Title: Control, Machine Learning and Numerics Speaker: Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany TOPICS OF THE COURSE S01: Introduction to Control Theory (Fri. July 9, 2021) S02: Introduction: […]
Date: July 26th., 2021 WEEK 4 of 4 Organized by: Tianyuan Mathematical Center in Northeast China and Jilin University China Title: Control, Machine Learning and Numerics Speaker: Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany TOPICS OF THE COURSE WEEK 4 (July 26th, 2021) S12: Watch on YouTube Turnpike principle […]
Date: July 19th. to July 24th., 2021 WEEK 3 of 4 Organized by: Tianyuan Mathematical Center in Northeast China and Jilin University China Title: Control, Machine Learning and Numerics Speaker: Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany TOPICS OF THE COURSE WEEK 3 (July 19th – 24th, 2021) S06: […]
Date: July 9th. to July 26th., 2021 WEEK 2 of 4 Organized by: Tianyuan Mathematical Center in Northeast China and Jilin University China Title: Control, Machine Learning and Numerics Speaker: Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany TOPICS OF THE COURSE WEEK 2 (July 14th – 17th, 2021) S03: […]
Date: July 9th. to July 26th., 2021 WEEK 1 of 4 Organized by: Tianyuan Mathematical Center in Northeast China and Jilin University China Title: Control, Machine Learning and Numerics Speaker: Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany TOPICS OF THE COURSE WEEK 1 (July 9th – 10th, 2021) S01: […]
Date: June 28th to July 3rd, 2021 Organized by: CIMPA, UIR, Mines-Rabat, Université Mohammed V de Rabat, Faculté de Droit de Rabat-Agdal, Faculté des Sciences Rabat, CNRST and INSEA Title: Control, Numerics and Machine Learning Speaker: Our Head Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany Our Head Enrique Zuazua […]
Date: Mon. May 24, 2021 Organized by: Federal Fluminense University (Brazil) and supported by Rio de Janeiro State Research Support Foundation (FAPERJ). Title: Plenary Talk at the Workshop on Control Theory and Partial Differential Equations Speaker: Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg (Germany) Recording/Video: Watch on YouTube See more […]
Date: Tue. May 11, 2021 Organized by: FAU Erlangen-Nürnberg Title: FAU StudOn AG Neural Differential Equations, Control and Machine Learning Speaker: Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg (Germany) Abstract. We discuss Neural Ordinary Differential Equations (NODEs) from a control theoretical perspective to address some of the main challenges in […]
Date: Mon. April 26, 2021 Organized by: DSAD – Data Science Across Disciplines, a research group within Institute for the Future of Knowledge (IFK) at University of Johannesburg Title: Neural Differential Equations, Control and Machine Learning Speaker: Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany Abstract. The seminar is focused […]
Date: Thu. March 25, 2021 Organized by: French-speaking Pole at UAM – Autonomous University of Madrid. Title: Hire me, I’m a mathematician Speaker: Our Head Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany Our Head Enrique Zuazua talked about ““Hire me, I’m a Mathematician”” at Cafés Scientifique de la Culture. Abstract. In […]
Date: Mon. March 22, 2021 Organized by: Chair Jean-Morlet at CIRM – Centre International de Rencontres Mathématiques, Marseille Luminy, France. Title: Chaire Jean-Morlet 2021: Dynamics and Control of a guiding Model Speaker: Our Head Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany Abstract. We model, simulate and control the guiding […]
Date: Mon. March 8, 2021 Organized by: Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg Title: Unilateral bounds for nonlinear semigroups and time-inversion Speaker: Our Head Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany On March 8th, our Head Enrique Zuazua talked on the ‘Geometric and […]
Date: Fri. March 5, 2021 Organized by: Department of Mathematics at Federal University of Santa Catarina (UFSC – Universidade Federal de Santa Catarina), Brazil. Title: Coloquio MTM UFSC: Inverse design for conservation laws and Hamilton-Jacobi equations Speaker: Our Head Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany On Friday March […]
Date: Tue. February 2, 2021 Organized by: One World PDE Title: Open World PDE Seminar: Inverse design for conservation laws and Hamilton–Jacobi equations Speaker: Prof. Dr. Enrique Zuazua Affiliation: FAU Erlangen-Nürnberg, Germany Abstract. We shall discuss the inverse problem, or inverse design problem, for a time-evolution Hamilton–Jacobi equation and the […]
Master PDE course – Partial Differential Equations, Control and Numerics 01 Introduction Historical Introduction Introduction Control Design 02 Finite-dimensional linear control Finite-dimensional linear control 03 Basic Tools Gradient descent Methods An Algorithm for Density Background on Fourier Analysis Ingham’s inequality Adjoint Methods 04 Waves Waves, history […]