Important dates
Submissions due: June 1st.
Reviewing period: June 3rd - June 22nd.
Discussion period: June 23rd - July 6th.
Decision notification: July 13th.
Meeting dates: September 10-11, 2025.
Submission instructions
Submissions should describe research on novel learning approaches or application areas in computational biology. A strong submission to the workshop typically presents a new learning method that yields new biological insights or applies an existing learning method to a new biological problem. However, submissions that improve upon existing methods for solving previously studied problems will also be considered. Examples of research presented in previous years: MLCB2024, MLCB2023, MLCB2022, MLCB2021, MLCB2019.
We will accept submissions in two tracks through CMT: submission link.
1) 8-page papers that are eligible to (optionally) be published online in an MLCB section of the Proceedings of Machine Learning Research.
2) 2-page abstracts that are more appropriate for work in progress (not eligible for publication).
Format and submission guidelines
Researchers should upload a 2-page abstract (excluding references) or an 8-page paper (excluding references) in PDF format to the CMT submission website. Submissions exceeding the page limit will be automatically rejected.
No special style is required for 2-page abstracts. For 8-page papers, we ask authors to use standard font size 11 pt and margins 1 in. We prefer single-column format.
We also allow parallel submission to the preprint servers, and the inclusion of appendix/supplementary materials as long as the main paper is self-contained and reviewers are not required to read the appendix.
The workshop allows submissions of papers (for both tracks) that are under review or have been recently published in a conference or a journal. If you are submitting such a paper, please specify whether the submission is published or under consideration. Such submissions are not eligible for publication in PMLR.
We are no longer asking the authors to anonymize their submissions, i.e., reviewing is single blind not double blind.
CMT Acknowledgement
The Microsoft CMT service is used for managing the peer-reviewing process for this conference. This service is provided for free by Microsoft and they bear all expenses, including costs for Azure cloud services as well as for software development and support.