HITS Colloquium Guillermo Cabrera-Vives: Machine Learning & Astronomy: Unique Challenges for a Unique Field

By Guillermo Cabrera-Vives, Department of Computer Science, Universidad de Concepción,  Chile

Currently Klaus Tschira Guest Professor at HITS

Astronomy, like many other fields, is experiencing an explosion of data, with vast amounts of information pouring in from the universe. This influx has driven the development of new machine learning (ML) tools, enabling new discoveries while also presenting unique challenges. Unlike standard ML tools, those used in astronomy must adapt to data collected from distant sources, often captured under irregular and constrained observational conditions. In this talk, I will discuss the different challenges of applying ML in astronomy, including handling observational biases, irregular time series sampling, and the need for robust uncertainty estimation, among others.

CV_GuillermoCabreraVives

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