September 1, 2025 Recent News:
Due to systematic OpenReview issues, we are extending the deadline to September 2, 2025 AOE. We have messaged OpenReview to ask them when it can be brought back online.
The Learning from Time Series for Health (TS4H) workshop is returning to NeurIPS 2025, and invites submissions focused on the unique challenges and opportunities in modeling time series data to better understand and improve human health. Time series data is ubiquitous in modern healthcare, spanning diverse modalities such as wearables, sensors, medical waveforms, and electronic health records. This workshop brings together researchers working across methodological and applied areas to address questions unique to the intersection of time series analysis and health.
We invite you to submit your work by August 22, 2025 September 1, 2025 (Anywhere on Earth).
To recognize an outstanding contribution, we are pleased to offer a $500 Best Paper Prize 🏆 sponsored independently by Google and Apple
Submissions may explore but are not limited to:
We invite short papers of up to 4 pages, excluding references and appendices. All submissions should follow the official NeurIPS ‘25 paper formatting guidelines (paper checklist is NOT needed) and be fully anonymized for a double-blind review process. Submitted work should be original and unpublished, though submissions on preprint servers like arXiv are permitted. Authors will be asked to confirm that their submissions accord with the NeurIPS Code of Conduct
All accepted papers must be presented in person at the workshop. This is a non-archival venue and there will be no formal proceedings.
Submission Deadline: August 22, 2025 September 1, 2025 (AOE)
Acceptance Notification: September 22, 2025
Workshop Date: December 6 or 7, 2025 (Co-located with NeurIPS '25 in San Diego, United States)