Invertible Neural Networks in Astrophysics

Modern machine learning techniques have become indispensable in many fields of astronomy and astrophysics. Here we introduce a specific class of methods, invertible neural networks, and discuss two specific applications, the prediction of stellar parameters from photometric observations and the stud...

Full description

Bibliographic Details
Main Author: Klessen Ralf S.
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2022/09/epjconf_ism2022_00009.pdf
_version_ 1797997029514805248
author Klessen Ralf S.
author_facet Klessen Ralf S.
author_sort Klessen Ralf S.
collection DOAJ
description Modern machine learning techniques have become indispensable in many fields of astronomy and astrophysics. Here we introduce a specific class of methods, invertible neural networks, and discuss two specific applications, the prediction of stellar parameters from photometric observations and the study of stellar feedback processes from on emission lines.
first_indexed 2024-04-11T10:26:39Z
format Article
id doaj.art-0e95fed7820f4fe88468a2537eb7cf7e
institution Directory Open Access Journal
issn 2100-014X
language English
last_indexed 2024-04-11T10:26:39Z
publishDate 2022-01-01
publisher EDP Sciences
record_format Article
series EPJ Web of Conferences
spelling doaj.art-0e95fed7820f4fe88468a2537eb7cf7e2022-12-22T04:29:33ZengEDP SciencesEPJ Web of Conferences2100-014X2022-01-012650000910.1051/epjconf/202226500009epjconf_ism2022_00009Invertible Neural Networks in AstrophysicsKlessen Ralf S.0Universität Heidelberg, Zentrum für Astronomie, Institut für Theoretische AstrophysikModern machine learning techniques have become indispensable in many fields of astronomy and astrophysics. Here we introduce a specific class of methods, invertible neural networks, and discuss two specific applications, the prediction of stellar parameters from photometric observations and the study of stellar feedback processes from on emission lines.https://www.epj-conferences.org/articles/epjconf/pdf/2022/09/epjconf_ism2022_00009.pdf
spellingShingle Klessen Ralf S.
Invertible Neural Networks in Astrophysics
EPJ Web of Conferences
title Invertible Neural Networks in Astrophysics
title_full Invertible Neural Networks in Astrophysics
title_fullStr Invertible Neural Networks in Astrophysics
title_full_unstemmed Invertible Neural Networks in Astrophysics
title_short Invertible Neural Networks in Astrophysics
title_sort invertible neural networks in astrophysics
url https://www.epj-conferences.org/articles/epjconf/pdf/2022/09/epjconf_ism2022_00009.pdf
work_keys_str_mv AT klessenralfs invertibleneuralnetworksinastrophysics