2021 Korea Astronomy Machine Learning

Lecture List

31. Welcome Remark (David Parkinson & Inkyu Park)

06/04/2021, 13:30

32. Applications of Machine Learning Algorithms and their Challenges in Astronomy

Minsu Shin

06/04/2021, 13:35

Astronomy has a long history of exploiting modern hardware architectures and algorithms in its data analysis research. The most recent trend includes applications of cutting-edge machine learning algorithms. In this talk, I will introduce several application cases of machine learning algorithms, focusing on data science with big survey data, and some challenges and problems in these...

33. Gaussian Process Regression in Cosmology

Ryan Keeley

06/04/2021, 14:25

Gaussian process regression is a data driven statistical tool that is useful for both reconstructions and model selection. Especially in this era of precision cosmology where tensions abound, this example of model-independent statistical methods can be crucial for identifying the new physics or systematics that is the explanation for the tensions. In this talk I will review the formalism of...

34. Break

06/04/2021, 15:15

35. Discussion #1 : Summary of previous KAML projects

06/04/2021, 15:30

36. Discussion #2 : New KAML collaborational projects

06/04/2021, 16:15