Machine learning has significantly improved the way cosmologists model and interpret cosmological data; yet, its "black box" nature often limits our ability to trust and understand its results. In this talk, I will discuss how we can apply deep learning techniques, including explainable AI methods, to tackle complex problems in cosmology. I will show how we can gain new insights into the...
Almost all areas in the physical or engineering sciences rely on computational models. These models can be based on fundamental physical principles, typically formulated as a set of differential equations. Alternatively, machine learning can be used to infer input-output relations from vast datasets. Both approaches come with different strengths and weaknesses, thus, in recent years, there has...
