Hello RDKit community, The call for proposals to the NeurIPS 2020 workshop is now open. Please see below for details.
Best, Jennifer ============= NeurIPS 2020 Workshop on Machine Learning for Molecules. 11 or 12 December 2020 https://ml4molecules.github.io/ Please direct questions to ml4moleculesworkshop2...@gmail.com IMPORTANT DATES: * Submission Deadline: 5. October 2020 25:59 AOE * Author notification: 23. October 2020 * Workshop: 11 or 12 December 2020 CALL FOR PAPERS The 2020 NeurIPS Workshop on Machine Learning for Molecules calls for high-quality contributions on the following topics: * Applications of ML for molecules (i.e. chemistry, material science, quantum mechanics, biochemistry, biophysics, structural biology, and related areas) * Graph neural networks * Representation learning for molecules * Prediction of molecular properties or bioactivities * ML for quantum chemistry and molecular dynamics * Generative models of molecules and de novo design * ML for protein structures * ML for reaction data, reaction prediction, and synthesis planning * Active Learning & Uncertainty Quantification * Interpretable models * Benchmarks and analysis of state of the art papers * Any other topic related to the workshop theme We call for the submission of breaking edge, high-quality work in progress in the form of extended abstracts or short communication papers, however, finalized projects will also be considered. Work that is presented at the main NeurIPS conference or has been published at other peer-reviewed venues or journals will not be accepted in the workshop. Submissions will be accepted as contributed talks or poster presentations. Accepted final versions will be posted on the workshop website (and are archival but do not constitute a proceedings). SUBMISSION INSTRUCTIONS Submissions should be no longer than 4 pages in NeurIPS style. References do not count towards the page limit. Appendices are discouraged and reviewers will not be required to read beyond the 4 page limit. Papers have to be submitted as anonymised PDF. We will provide a link to an electronic submission system in due course at https://ml4molecules.github.io/ PEER REVIEW AND ACCEPTANCE CRITERIA All submissions will undergo anonymized peer review. Accepted papers will be chosen based on technical merit and suitability to the workshop's goals. All accepted papers will be included in the poster sessions on the day of the workshop. COPYRIGHT FOR ACCEPTED PAPERS This workshop will be informally published online but not officially archived. This means: * Authors will retain full copyright of their papers. * Acceptance to this workshop does not preclude publication of the same material in another journal or conference. We will post links to accepted papers on our workshop website. Authors should clearly state any overlapping published work at time of submission. ORGANIZING COMMITTEE Brooks Paige Jennifer Wei José Miguel Hernández-Lobato Marwin Segler Matt Kusner
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