Via this course and by the successful completion thereof, the students will:
- Learn a general problem definition of generative modeling
- Learn details and use of autoregressive models
- Learn generation-related concepts, such as latent spaces, latent codes, and encoding
- Learn generative neural models.
- Learn diffusion-based generation.
- Learn various evaluation criteria for generative models