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 of applications touching upon social, economic, and technological aspects of everyday life. They are also being used with great enthusiasm to fill in gaps in our scientific knowledge by data-based modelling approaches. I have followed these developments for a while with interest, concern, and mounting disappointment. When these technologies are employed to take over decisive functionality in safety-critical applications, we would like to exactly know how to guarantee their compliance with pre-defined guardrails and limitations. Moreover, when they are utilized as building blocks in scientific research, it would violate scientific standards -in my opinion- if these building blocks were used without a throrough understanding of their functionality, including inaccuracies, uncertainties, and other pitfalls. In this context, I will juxtapose (a subset of) deep neural network methods with the family of entropy-optimal Sparse Probabilistic Approximation (sSPA) techniques developed recently by Illia Horenko (RPTU Kaiserslautern-Landau) and colleagues.
BIO.- Rupert Klein holds a doctorate degree (1988) and habilitation (1995) in Mechanical Engineering from RWTH Aachen University with specialization in “Nonstationary Mechanics”. Following his rising interest in environmental science, he accepted an offer to take up a professorship on “Safety Technology” at Bergische Universität Wuppertal in 1995. Two years later, he received a two-legged appointment by Freie Universität Berlin (FUB) and the Potsdam-Institut for Climate Impact Research (PIK) to become the head of the “Data & Computation” Department at PIK (1997-2007) and to establish a research group on “Scientific Computing/Modelling and Simulation of Global Environmental Systems” within the Mathematics & Informatics Department of FUB. His research covers topics of theoretical and computational fluid dynamics in a broad sense, with applications to atmospheric flows, vortex dynamics, and combustion.
VIDEO / RECORDING
AUDIENCE
This is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.
WHEN
Fri. September 20, 2024 at 14:30H (Berlin time)
WHERE
On-site / Online
[On-site] Friedrich-Alexander-Universität Erlangen-Nürnberg.Room H13 Johann-Radon-Hörsaal
Cauerstraße 11, 91058 Erlangen
GPS-Koord. Raum: 49.573764N, 11.030028E [Online] FAU Zoom link
Meeting ID: 861 3133 4232 | PIN code: 8pQ5kn
* Speaker photo credits: Mathematisches Forschungsinstitut Oberwolfach.
You might like:
• FAU MoD Lectures
• FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems by Prof. Dr. Sebastian Peitz
• FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning by Prof. Dr. Martin Burger
• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat
• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi
• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli
• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function by Prof. Dr. Alfio Quarteroni
• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus? by Prof. Dr. George Karniadakis
• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda
• FAU MoD Lecture: Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen
• FAU MoD Lecture: Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic
_
Don’t miss out our last news and connect with us!
www.mod.fau.eu/events