Special Issue for Analytical Connectionism 2023 and 2024

We are pleased to announce the launch of a special issue for Analytical Connectionism, which will feature lecture notes from the 2023 and 2024 editions of the school. The issue will be published in the Proceedings of Machine Learning Research (PMLR), and all contributions will undergo a peer review process, resulting in a formal publication.

We encourage all participants of the 2023 and 2024 editions to reach out to other note-takers in their group and collaborate on submitting lecture notes. While there is no obligation to contribute—and some group members may not have the possibility to do so—this is a great opportunity to share what you’ve learned with future participants and to secure a publication in a respected venue.

Submission Platform

Submissions will be managed through OpenReview. All materials must be submitted via the following platform: OpenReview Submission Portal.

Template and Formatting

Please use the provided submission template for formatting your document. The template can be accessed here: Submission Template.

Page Limit

There is no strict page limit for the submissions. However, we recommend the following approximate lengths:

• Long lectures: ~20 pages
• Shorter lectures: ~12 pages

These are only guidelines, and we understand that the length may vary depending on the content of each lecture.

Co-authorship

If you are submitting lecture notes on behalf of a lecturer, please ensure that the lecturer is included as a co-author. The lecture notes are their intellectual property, and their consent is necessary for the submission.

All submissions will go through a peer review process. You will be notified of the results of the review during the rebuttal and discussion period. Final decisions will be made by 1 August 2025.

For reference, here is an example of a special issue completed by another school: Les Houches special issue.