162 citations · 193 across the 3 of their papers we have counts for
5 papers
Photometric redshift estimation via deep learning
Antonio D'Isanto, Kai Lars Polsterer
The need to analyze the available large synoptic multi-band surveys drives the development of new data-analysis methods. Photometric redshift estimation is one field of application…
A Spectral Model for Multimodal Redshift Estimation
Sven D. Kugler, Nikolaos Gianniotis, Kai L. Polsterer
We present a physically inspired model for the problem of redshift estimation. Typically, redshift estimation has been treated as a regression problem that takes as input magnitude…
Featureless Classification of Light Curves
Sven Dennis Kügler, Nikos Gianniotis, Kai Lars Polsterer
In the era of rapidly increasing amounts of time series data, classification of variable objects has become the main objective of time-domain astronomy. Classification of irregular…
Autoencoding Time Series for Visualisation
Nikolaos Gianniotis, Dennis Kügler, Peter Tino +2
We present an algorithm for the visualisation of time series. To that end we employ echo state networks to convert time series into a suitable vector representation which is capabl…
Finding New High-Redshift Quasars by Asking the Neighbours
Kai Lars Polsterer, Peter-Christian Zinn, Fabian Gieseke
Quasars with a high redshift (z) are important to understand the evolution processes of galaxies in the early universe. However only a few of these distant objects are known to thi…