https://mklab.gr/ Sat, 17 Oct 2026 11:46:51 +0000 MyBB https://mklab.gr/showthread.php?tid=2051 Sun, 20 Sep 2026 01:15:55 +0300 mklabgr]]> https://mklab.gr/showthread.php?tid=2051 This lecture introduces an academic reading course focused on the geometric and mathematical foundations of neural networks, known as neuromanifolds. The speaker outlines the course structure—which spans from basic feed-forward architectures to advanced topics in information geometry and algebraic geometry—while highlighting minimal prerequisites and organizing student presentation sign-ups. 

By exploring how parameters map to function spaces and analyzing concepts like singularities and expressivity, the course aims to provide mathematicians and researchers with rigorous tools to better understand and evaluate modern machine learning architectures.


LECTURE]]> This lecture introduces an academic reading course focused on the geometric and mathematical foundations of neural networks, known as neuromanifolds. The speaker outlines the course structure—which spans from basic feed-forward architectures to advanced topics in information geometry and algebraic geometry—while highlighting minimal prerequisites and organizing student presentation sign-ups. 

By exploring how parameters map to function spaces and analyzing concepts like singularities and expressivity, the course aims to provide mathematicians and researchers with rigorous tools to better understand and evaluate modern machine learning architectures.


LECTURE]]>