Machine Learning & Astrophysics Hack Days
Machine Learning & Astrophysics Hack Days is a series of 4 seminars organised at PhD level to explore machine learning techniques that are often used in astrophysics during the winter semester 2020 at the ETH Zürich.
The seminars will be completely online, due to the COVID-19 pandemic. They will recorded live from the ETH and streamed live. A recording of the lectures will be available later on this website for everyone to enjoy.
Information on live streaming and videos will be posted on the following website.
external page Anomaly Detection and (variational) autoencoders
13th of November 2020
external page Classification of observations
11th of December 2020
external page De-noising of images
15th of January 2021
external page Enhancing images
26th of February 2021