Nordic Probabilistic AI School
ProbAI Summer School 2019
The Nordic Probabilistic AI School (ProbAI) was organised June 3-7. The school offered state-of-the-art expertise in machine learning and artificial intelligence to the public, students, academia and industry.
The objective was to bring an intermediate to advanced level summer school with a particular focus on probabilistic models and deep generative models, covering the topics of latent variable models, inference with sampling and variational approximations, and probabilistic programming and tools.
The team of invited lecturers covered a carefully designed curriculum. Through tight cooperation between our lecturers, and through the combination of theoretical lectures and hands-on tutorials, the school provided high quality, continuous and consistent knowledge transfer.
The first edition of the AI summer school was a huge succes, gathering more than 150 participants from all over the world. In addition to an interesting and challenging academic program, the participants attended various social events, making it a great place to network and meet new people.
We are excited about repeating the summer school next year. If you are interested in joining, helping out or have ideas to how the next edition of the AI summer school should be, please feel free to contact the organizing team:
Heri Ramampiaro, Helge Langseth,
Eliezer de Souza da Silva, Tárik S. Salem.