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About ProbAI
The mission of the fourth Nordic Probabilistic AI School (ProbAI) remains unchanged. The ProbAI school is here to provide an inclusive education environment serving state-of-the-art expertise in machine learning and artificial intelligence. The public, students, academia and industry are welcome to join ProbAI 2023.

Topics
Probabilistic Modeling,Variational Inference,Probabilistic Programming,Deep Generative Models, ...
Our objective is to bring an intermediate to advanced level “summer” school with a focus on probabilistic machine learning. We cover topics such as probabilistic models, variational approximations, deep generative models, latent variable models, normalizing flows, neural ODEs, probabilistic programming, and much more.
Lecturers & Speakers
Our lecturers and speakers will guide you from the foundations of probabilistic machine learning up to the state-of-the-art.
Rianne van den Berg
Microsoft Research
Chin-Wei Huang
Microsoft Research
Andrew R. Johnson
Aalto University
Fredrik D. Johansson
Chalmers University of Technology
Arto Klami
University of Helsinki
Helge Langseth
Norwegian University of Science and Technology
Yingzhen Li
Imperial College London
Andrés R. Masegosa
Aalborg University
Thomas Dyhre Nielsen
Aalborg University
Silja Renooij
Utrecht University
Adèle H. Ribeiro
University of Marburg
Victor Garcia Satorras
Microsoft Research

Venue
Trondheim in Norway
The Nordic Probabilistic AI School (ProbAI) will take place at the campus of the Norwegian University of Science and Technology.
Høgskoleringen 5, 7034 Trondheim
Organizers
Who is behind ProbAI 2023?
The 2023 edition of the Nordic Probabilistic AI School (ProbAI) is being hosted by the Norwegian University of Science and Technology (NTNU) and organized with the support of Norwegian Open AI Lab.