Poster Session

Submission Topics

We welcome original contributions or abstracts of recent work on the topics of transfer learning and foundation models for time series, including:

• Foundation model architectures
• Efficient fine-tuning (LoRA, adapters, soft prompts…)
• Domain adaptation
• Multi-task and multi-domain transfer
• Evaluation and benchmarks
• Out-of-distribution generalization
• Time series applications and multimodal data

Submissions may be at a preliminary stage or based on recently published work. The poster session is designed to encourage informal exchanges and in-depth discussions.

Submission Instructions

Submissions must follow these guidelines:

• Format: one-page abstract maximum, PDF format, in French or English.
• Content: title, authors and affiliations, abstract of the work (problem, method, main results).
• Submission: via the online form below, or directly by e-mail to retd-edl@edf.fr.
• Deadline: October 2, 2026

You can also send your submission directly to retd-edl@edf.fr.

Selection and Notification

Submissions will be reviewed by the organizing committee. Authors will be notified by e-mail. Accepted posters will be presented during the session on Tuesday, November 3 starting at 4:00 PM.

The poster format is flexible (A0 portrait recommended). Printing will not be provided by the workshop organizers.