Seminar: Mathematische Methoden der Künstlichen Intelligenz

Vorbesprechung+Themenvergabe: 12.02.26, 14:00 Mathelounge

Schedule, 17.04.

9:00–10:00	Intro Stochastic Bandits (Oliver Reinarz)
10:00–11:00	Contextual Bandits (Lena Graef)
11:00–12:00	Adversarial Bandits (Jonas Lojowsky)
13:00–14:00	Intro Neural Networks (Simon Strauch)
14:00–15:00	Diffusion Models 1 (Julien Maurer)
15:00–16:00	Diffusion Models 2 (Fabio Lehmann)

09:00–10:00	Intro to Optimization in ML (Fabian Kern)
10:00–11:00	Intro Stochastic Gradient Descent (Jakob Glaser)
11:00–12:00	ADAM & Co. (Felix Piller)
13:00–14:00	Cross-Entropy Method (Amélie Bender)
14:00–15:00	Diffusion models as policies in RL (Noah Held)
15:00–16:00	Diffusion models as critics in RL (Simeon Büttner)