Helmholtz AI Uncertainty Workshop

Call for Abstracts

• Opening day
  26 Sept 2025, 10:00
• Submission deadline
  24 Oct 2025, 23:59

📢 Share your work on quantifying uncertainty in machine learning! 📢

We're excited to announce the call for abstracts for our workshop, Navigating the Unknown, taking place January 13-15, 2026. This workshop will bring together researchers and practitioners to discuss the latest advances and challenges in Uncertainty Quantification (UQ) for ML.

We welcome submissions on a wide range of topics, including (but not limited to):

• UQ Methods for Diverse Tasks: Regression, classification, generation, and more, applied to various data types (images, video, text, time series, tabular data).
• Uncertainty Evaluation: Methods for assessing the reliability and calibration of estimated uncertainties.
• Scalable UQ: Techniques for approximating uncertainties to improve computational efficiency.
• UQ Tooling: Software libraries and visualizations to support UQ research and applications.
• Real-World Deployments: Experience reports on deploying UQ methods to end-users or integrating them into downstream tasks.

Important Dates

• Abstract Submission Deadline: October 24, 2025
• Notification of Acceptance: November 2, 2025

The call for abstracts is open

You can submit an abstract for reviewing.

Submit new abstract