In modern AI systems, modeling data distributions is essential for numerous tasks of significance. Presently, the cutting-edge methodologies largely rely on the fusion of two foundational mathematical tools: dynamical system theory and differential geometry. This lecture will explain how the combination of these concepts presents a clear and intuitive pathway to understanding the essential principles in modern data distribution learning techniques.
Geometry, Dynamical Systems, and Data Science
11.06.2024 09:00 - 09:20
Organiser:
Fakultät für Mathematik, Dekan Radu Ioan Boţ
Location:
Hörsaal 12, 2. OG