Sijia Feng
Physics-informed machine learning with multi-source satellite data to quantify field-scale N2O emissions for climate-smart agriculture
Abstract: Nitrous oxide (N2O) is a highly important greenhouse gas...
Christina Winkler
Bayesian Spatio-Temporal Deep Learning with Normalizing Flows
Abstract: Scientific simulations in the natural sciences are mathematical and...
Johanna Düngler
Understanding the interaction of Privacy, Robustness, and Fairness in machine learning algorithms
Abstract: Machine learning models and algorithms are increasingly integrated into...
Niklas Gesmar Madsen
Perturbing the Rhythm; Interventions on Enzyme Dynamics with Geometric Graphs
Abstract: Enzymes lie at the centre of a biosustainable and...
Martin Sæbye Carøe
Multi-modality reconstruction methods for robust mineral classification in the ”Black Beauty” Mars meteorite using neutron and X-ray tomographyAbstract
Abstract: Computed tomography is a very widespread approach to visualize...
Anders Gjølbye Madsen
Causal Approach to Trustworthy Artificial Intelligence in Healthcare
Abstract: The proposed PhD project aims to enhance the trustworthiness...