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Call for Papers

We invite submissions to the ICLR 2023 workshop on Physics for Machine Learning. The total length of the initial (and final) submission must not exceed 4 pages, with unlimited additional pages for citations. Authors may include an appendix after the references. However, reviewers are not required to read the appendix. Submissions should be a single file in .pdf format using this style file. The review process is double-blind, so please ensure that all papers are appropriately anonymized. We reserve the right to desk-reject improperly-anonymized papers.

This workshop is non-archival; even though all accepted papers will be available on OpenReview, there are no formally-published proceedings.

Submission link OpenReview
Submission opens 1 January 2023
Submission deadline 8 February 2023 (AoE)
Final decisions 3 March 2023

List of topics

We invite all submissions on using physics for machine learning methods. A list of exemplary topics can be found below. Please note that this list is non-exhaustive. If you are not sure if your topic is suitable for the workshop, please feel free to contact any of the organizers.