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 a 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/ECMLPKDDWT2026/Submission/Index
After logging in, create a new submission in your author console, and select the track "[DLMNH] - 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_ecml26@googlegroups.com