PhD Student

Probabilistic Machine Learning, Generative Diffusion Models

PhD Position – Thesis offer M/F (Reference: DS/PM/DIFF/022022)

More info

The goal of this Ph.D. Thesis is to deepen our understanding and develop new methodologies for probabilistic generative models. There are many types of generative models, including Generative Adversarial Networks, Variational Autoencoders and Flow-based models.