Lecture: Advanced Machine Learning: Deep Generative Models
This course (CIT4230003) builds upon the knowledge you gained in the lecture Machine Learning (IN2064). In this course, we will cover a wide range of recent deep generative models and explore more advanced learning principles that serve as the foundation for current state-of-the-art models.
Information
- Lecture/Exercise: tbd
- Required knowledge: Content of our Machine Learning lecture.
All announcements will be made on the Piazza forum . In addition, you can also register for Moodle.
Note: Currently, there is a conflict in registering for both MLGS and DGM. Please note that this is not intended, and you should be able to attend both courses and use Piazza for now.
Please do not send any questions about organizational matters via e-mail. If you have problems registering for the course, contact cm.hu@tum.de.
Tentative list of topics
- Normalizing flows
- Variational inference and variational autoencoders
- Generative adversarial networks
- Generative diffusion and score-based methods