Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence
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Talks

Summer Semester 2021, Wednesdays at 2:00 p.m.

Date Speaker Title
14.4.21 Ron Levie Fast Radio Propagation Prediction with Deep Learning
21.4.21 Adalbert Background A Theoretical and Practical Analysis of Deep Neural Networks emulating Matrix Multiplication
28.4.21 Sohir Maskey Transferability of Graph Neural Networks - A Generalized Graphon Approach
5.5.21 Hector Andrade Loarca Semantic Edge Detection with Applied Harmonic Analysis and Deep Neural Networks
12.5.21 Chirag Varun Shukla A Brief Overview of Explainability Techniques for Graph Neural Networks
19.5.21 Stefan Kolek Martinez De Azagra
26.5.21 Matt J. Colbrook
2.6.21 Duc Anh Nguyen
16.6.21 Aleksandar Bojchevski
23.6.21 Kerstin Hammernik
7.7.21 Mariia Seleznova