Papers are to be submitted on OpenReview using the Proceedings of Machine Learning Research (PMLR) format, template available here.
All papers must be written in English and be uploaded in PDF format.
Submissions are limited to 10 pages (except for tutorial papers that can have 20 to 30 pages), excluding references and appendices. Note that reviewers are not expected to read material in the appendix, and the paper's results must be understandable from the material in the main paper.
Authors may include supplementary material (long proofs, additional experimental results, etc), but reviews and acceptance decisions will be based only on the submitted paper. The supplementary material must be submitted along with the main paper in the submission portal.
NeuS reviewing is single-blind, i.e. author names should be listed on the papers, but reviewers are anonymous to authors.
NeuS will use the IEEE CSS Generative AI guidelines available here.
Please contact the conference organizers if you have any questions.