Papers should be written in English and formatted according to the Springer LNCS format. Please, use this template for preparing your submission.
We invite both extended abstracts / short papers (up to 6 pages, references included) and full papers (up to 16 pages, references included). Submissions should be made through the workshop's CMT submission page.
Papers authors will have the faculty to opt-in or opt-out for publication of their submitted papers in the joint post-workshop proceedings published by Springer Communications in Computer and Information Science, organized by focused scope and possibly indexed by WOS.
Notice that novelty is not essential for contributions that will not appear in the workshop proceedings (presentation-only contributions), as we invite abstracts and papers that have already been presented or published elsewhere to maximize the dissemination and cross-pollination of ideas among the deep learning and neuromorphic hardware communities.
At least one author of each accepted paper must have a full registration and be in-person at the conference to present the paper. Papers without a full registration or in-presence presentation won't be included in the post-workshop Springer proceedings.
Link for submissions: https://cmt3.research.microsoft.com/ECMLPKDDWorkshops2025/Submission/Index
After logging in, create a new submission in your author console, and select the track "Deep learning meets Neuromorphic Hardware".
Please note that there is a section in the submission form where you can indicate whether your submission is for presentation-only or not.
For any information, don't hesitate to contact the workshop organizers at deeplearningneuromorphic_ecml25@googlegroups.com