Kai Lars Polsterer

According to our database, Kai Lars Polsterer authored at least 17 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

UltraPINK - New possibilities to explore Self-Organizing Kohonen Maps.

Fenja Kollasch, Kai Polsterer

CoRR, 2024

Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations.

Kai Lars Polsterer, Bernd Doser, Andreas Fehlner, Sebastian Trujillo-Gomez

CoRR, 2024

2022

Applications of AI in Astronomy.

S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Kai Polsterer, Alberto Krone-Martins

CoRR, 2022

Convolutional autoencoders for spatially-informed ensemble post-processing.

Sebastian Lerch, Kai Lars Polsterer

CoRR, 2022

Learning Features via Transformer Networks for Cardiomyocyte Profiling.

Jan Plier, Matthias Zisler, Jennifer Furkel, Maximilian Knoll, Alexander Marx, Alena Fischer, Kai Polsterer, Mathias H. Konstandin, Stefania Petra

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2017

Massively-parallel best subset selection for ordinary least-squares regression.

Fabian Gieseke, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, Tom Heskes

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Uncertain photometric redshifts via combining deep convolutional and mixture density networks.

Antonio D'Isanto, Kai Lars Polsterer

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Model-coupled autoencoder for time series visualisation.

Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Lars Polsterer

Neurocomputing, 2016

A spectral model for multimodal redshift estimation.

Sven Dennis Kügler, Nikolaos Gianniotis, Kai Lars Polsterer

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs.

Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Dealing with Uncertain Multimodal Photometric Redshift Estimations.

Kai Lars Polsterer

Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

2015

Autoencoding time series for visualisation.

Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Polsterer, Ranjeev Misra

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties.

Maximilian Hoecker, Kai Lars Polsterer, Sven Dennis Kügler, Vincent Heuveline

Proceedings of the 18th IEEE International Conference on Computational Science and Engineering, 2015

2014

Speedy greedy feature selection: Better redshift estimation via massive parallelism.

Fabian Gieseke, Kai Lars Polsterer, Cosmin Eugen Oancea, Christian Igel

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Learning morphological maps of galaxies with unsupervised regression.

Oliver Kramer, Fabian Gieseke, Kai Lars Polsterer

Expert Syst. Appl., 2013

On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy.

Justin Heinermann, Oliver Kramer, Kai Lars Polsterer, Fabian Gieseke

Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013

2010

Detecting Quasars in Large-Scale Astronomical Surveys.

Fabian Gieseke, Kai Lars Polsterer, Andreas Thom, Peter Zinn, Dominik Bomanns, Ralf-Jurgen Dettmar, Oliver Kramer, Jan Vahrenhold

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010