Information for ProbAI 2021 registrants.


The following information is scheduled to be sent to the registrants via email.

  • May 27 — General information.
  • May 31 — Registration information for the PhD course (DT8122).
  • June 3 — Poster session registration.
  • June 9 — Final program.
  • June 11 — Access to digital platforms.

If you have not received some of the listed notifications, please contact the organizers via email.

Digital Platforms

The main digital platforms for communication and collaboration are Zoom (for lectures) and Remo (for hands-on sessions). Slack will be used for a backchannel communication.

Chrome is the recommended browser for Linux, MacOS and Windows. To test your system (specifically webcam, microfon and speakers), please use the Remo System Check. Although Remo is not officially supporting Linux, in our tests, we have not experienced any issues if the Chrome browser was used.

Access information to the digital platforms will be shared on June 11.

Plan Your Week

Although virtual, the ProbAI 2021 is going to be an intensive five day intellectual and social marathon. It can be especially challenging for the brave participants residing in distant time zones. Therefore, we recommend you to carefully plan and prepare ahead of the event. Here are a few tips:

  • Choose a pleasant workspace from which you will attend ProbAI 2021.
  • We wish to see you… Create a setting in which you will be comfortable to share your camera view.
  • In your planning, include also how you will nutrition yourself throughout each day of the 5 day school.
  • Make sure that you will have reliable and fast (high bandwidth and low latency) Internet connectivity.

Think of anything else that would make the experience as pleasant as possible.

Certificate of Attendance

A participant is elligible for a Certificate of Attendance if at least 65% of sessions were attended. The Certificate of Attendance will be sent only per request (via email) after the school.

Registration for PhD Course

The ProbAI school has been registered as a PhD course (at NTNU) awarded with 7.5 ECTS credit points. Registered PhD students will receive via email instructions for registering for the PhD course. The course registration opens on June 1 and closes on June 8.

Additionally to attending the lectures and tutorials at ProbAI, a PhD course registrant must submit a solution to a project assignment as the means of examination.

  • The project assignment will be released on June 17.
  • The delivery deadline is August 18.
  • The solution will be evaluated and graded with passed or failed.

The PhD course is registered at NTNU as “Probabilistic Artificial Intelligence” with the code DT8122.

Self-Study Recommendations

The following are recommended topics and materials for a voluntary self-study. Some level of familiarity in the listed topics should help you in following and digesting the content of ProbAI 2021. We have organized the recommended self-study materials into following groups:

  • Preliminaries: It is important to have a good understanding of topics 1, 2 and 4.
  • Tutorials: To follow tutorials familiarity with Python and basics of PyTorch and Pyro (topic 5) are beneficial.
  • Supplementary: Topics 3, 6, 7 and 8 may be helpful to follow some of the more advanced lectures.

Topics and materials:

  1. Probability theory and Bayesian analysis:
    • [1] chapters 2.1, 2.2 2.3, 3.1
    • [2] chapters 1.2, 1.3, 1.5.1, 1.5.2
  2. Gaussian (normal) distribution:
    • [1] chapters 2.6, 3.2
    • [2] chapter 2.3
  3. The exponential family:
    • [1] chapter 3.4
    • [2] chapter 2.4
  4. Neural networks, backpropagation:
  5. Deep learning frameworks:
  6. Automatic variational inference (days 3 and 4):
  7. Variational autoencoders (day 3):
  8. What is ODE (day 5):

[1] Probabilistic Machine Learning: An Introduction (draft), Kevin Patrick Murphy. MIT Press, 2021.
[2] Pattern Recognition and Machine Learning, Christopher Bishop. Springer, 2016.

Code of Conduct

The ProbAI school aims to be and to promote an environment of diversity, inclusion, openness, collaboration, and knowledge sharing.

To reach those goals together, the ProbAI team has created the following Code of Conduct, that is expected to be complied with by all participants (attendees, lecturers, organizers, helpers and others). We therefore expect the following from all participants:

  • Be welcoming and supportive. People of different backgrounds and identities are welcome and supported.
  • Be respectful and keep a good tone. Communicate thoughtfully and listen to the other participants. Be open to other participants’ thoughts and be aware of personal biases.
  • Collaborate and share knowledge. Everyone at the school has different skills and levels of experience. Engage and learn from the other participants. Share your own knowledge and help out other participants.
  • Respect personal boundaries. We do not accept harassment, violence, behavior of sexual or discriminatory nature, and other offensive behavior.

This code is not exhaustive and serves to capture a broader understanding of a healthy and safe collaborative environment.

If you have an incident of misconduct you wish to report, you may use the form at this link:

Any reported misconduct will be handled by the ProbAI team and the appropriate actions will be taken. The consequences will vary depending on the level of the misconduct and include, but are not limited to, removed attendance from the school.