You are welcome to apply for the 4th **Nordic Probabilistic AI School**
(ProbAI) 2023 being held on June 12-16 in Trondheim (Norway).
**APPLY NOW** at 
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprobabilistic.ai%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Cb426b86f3cd84fbed38b08db0e1841c8%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638119270453278288%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=vgyjjqZ1TOksRC5bnxZ6Hv5JzOIA9g00Aa3vI15GUyY%3D&reserved=0
 — The application deadline is
March 1.

## What to expect from ProbAI 2023?

The ProbAI is here to provide an inclusive education environment serving
state-of-the-art expertise in machine learning and artificial intelligence
with a probabilistic twist.

Whether you are a PhD student, advanced MSc or BSc student, experienced
researcher, engineer, or simply a hobbyist, you're welcome to join our
community of learners.

With a carefully designed curriculum and a seamless blend of theory and
hands-on sessions, our expert team of invited lecturers will guide you
through five intensive days each dedicated to a different topic:
introduction to probabilistic modeling, variational inference and
optimization, deep generative models, Bayesian neural networks and Bayesian
workflow, and causality.

With our cutting-edge lecture room we should experience a collaborative and
immersive learning environment where students, lecturers, and teaching
assistants work together to deliver an efficient and high-quality knowledge
transfer.

## Program & Lecturers

Let our team of invited lecturers take you from the foundations up to the
state-of-the-art.

* Introduction to Probabilistic Modeling (Day 1):
    * Antonio Salmerón (University of Almería)
    * Andrés R. Masegosa (Aalborg University)
    * Thomas Dyhre Nielsen (Aalborg University)
    * Arto Klami (University of Helsinki)
* Variational Inference and Optimization (Day 2)
    * Andrés R. Masegosa (Aalborg University)
    * Thomas Dyhre Nielsen (Aalborg University)
    * Helge Langseth (NTNU)
* Deep Generative Models (Day 3)
    * Rianne van den Berg (Microsoft Research)
    * Chin-Wei Huang (Microsoft Research)
    * Victor Garcia Satorras (Microsoft Research)
* Bayesian Neural Networks and Bayesian Workflow (Day 4)
    * Yingzhen Li (Imperial College London)
    * Elizaveta Semenova (University of Oxford)
* Causality (Day 5)
    * Adèle H. Ribeiro (University of Marburg)
    * Fredrik D. Johansson (Chalmers University of Technology)

For details, visit our website at 
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprobabilistic.ai%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Cb426b86f3cd84fbed38b08db0e1841c8%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638119270453278288%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=vgyjjqZ1TOksRC5bnxZ6Hv5JzOIA9g00Aa3vI15GUyY%3D&reserved=0.

## Registration Fee

* Students (including PhD) → 2500 NOK (~250 EUR)
* Academia → 5000 NOK (~500 EUR)
* Industry → 10 000 NOK (~1000 EUR)

## Scholarships

The ProbAI school has available scholarships if the registration fee or
travel costs may prevent you from attending the school. Our scholarships
are aimed primarily for applicants from developing countries and
under-represented groups.

The registration fee includes all courses, coffee breaks, lunches and
banquet.

## Organizers

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.

## Contact

* Website: 
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprobabilistic.ai%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Cb426b86f3cd84fbed38b08db0e1841c8%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638119270453278288%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=vgyjjqZ1TOksRC5bnxZ6Hv5JzOIA9g00Aa3vI15GUyY%3D&reserved=0
* Twitter: 
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* Facebook: 
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