Summer School
Generative Modelling PhD Summer School (GeMSS)
GeMSS is a European spring/summer school dedicated exclusively to deep generative models, including latent variable models, diffusion and flow-based models, and autoregressive generative models. It primarily attracts PhD students and researchers across Europe with an interest in generative modeling.
GeMSS is aimed at PhD students working broadly in data science and AI for whom generative modeling is, or may become, an important component of their research. The program is designed to be relevant both for students pursuing methodological research (e.g., machine learning, statistics, and AI) and for those working in applied domains such as bioinformatics, computational physics, computational chemistry, and computational social science. The school is also open to postdocs and senior researchers from academia and industry as part of their continuing training in generative AI.
The first three days will be taught by the main lectures, while there will be invited lectures giving tutorials the last two days.
The first three days will be taught by the main lectures, while there will be invited lectures giving tutorials the last two days.
Contact
Jes Frellsen Associate Professor Department of Applied Mathematics and Computer Science jefr@dtu.dk