2026

• Bregman Divergences, Bregman Information and the Generalised Bias–Variance Decomposition. Statistic’s discussion group, Ghent, Belgium, May 2026. Slides
• Selective prediction for molecular structure retrieval from mass spectra. Workshop on Uncertainty in Machine Learning (WUML), Tartu, Estonia, February 2026. Slides
• The limits of aleatoric and epistemic uncertainty representations (invited). Heidelberg University, Heidelberg, January 2026. Slides

2025

• Aleatoric and epistemic uncertainty representations and their evaluation (invited). Amadeus, remote, November 2025.
• A calibration test for evaluating set-based epistemic uncertainty representations. ECML PKDD, Porto, Portugal, September 2025. Slides

2024

• Representations of Epistemic Uncertainty in Machine Learning (invited). KU Leuven, Leuven, October 2024.
• Is epistemic uncertainty faithfully represented by evidential deep learning methods? Flanders AI Research Day, Ghent, Belgium, October 2024. link
• Is epistemic uncertainty faithfully represented by evidential deep learning methods? Workshop on Uncertainty in Machine Learning (WUML), Munich, Germany, February 2024. Slides