| Jun 11, 2026 | Our paper What Uncertainties Do We Need for Dynamical Systems? has been accepted at the 2nd Workshop on Epistemic Intelligence in Machine Learning Workshop at ICML 2026. Check out our preprint here. |
| Dec 06, 2025 | Our two papers An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression and Improved probabilistic regression using diffusion models have both been selected as oral presentations at the Epistemic Intelligence in Machine Learning Workshop at EurIPS 2025. |
| Oct 29, 2025 | New preprint: Uncertainty Quantification for Regression: A Unified Framework based on kernel scores. |
| Oct 06, 2025 | New preprint: Improved probabilistic regression using diffusion models. |
| Apr 30, 2025 | New preprint: An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression. |
| Mar 28, 2025 | Very happy to announce that our paper Probabilistic neural operators for functional uncertainty quantification was accepted in Transactions on Machine Learning Research  |
| Mar 26, 2025 | Our paper Uncertainty quantification for data-driven weather models was accepted at the AMS journal Artificial Intelligence for the Earth Systems |
| Oct 14, 2024 | Our paper Probabilistic predictions with Fourier neural operators was accepted at the NeurIPS 2024 workshop on Bayesian Decision-making and Uncertainty |
| May 01, 2024 | I am happy to announce that I am now an Associated PhD student at the Konrad Zuse School of Excellence in Reliable AI (relAI) |
| Mar 01, 2024 | I started my PhD at the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at LMU Munich |