Kai Lars Polsterer

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 9

Top Topics

Photometric Stereo

Subset Selection

Similarity Transformations

Top Venues

Astroinformatics

Publications

Kai Lars Polsterer, Bernd Doser, Andreas Fehlner, Sebastian Trujillo-Gomez
Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations. CoRR (2024)
Sebastian Lerch, Kai Lars Polsterer
Convolutional autoencoders for spatially-informed ensemble post-processing. CoRR (2022)
Fabian Gieseke, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, Tom Heskes
Massively-parallel best subset selection for ordinary least-squares regression. SSCI (2017)
Antonio D'Isanto, Kai Lars Polsterer
Uncertain photometric redshifts via combining deep convolutional and mixture density networks. ESANN (2017)
Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Lars Polsterer
Model-Coupled Autoencoder for Time Series Visualisation. CoRR (2016)
Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis
Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs. ESANN (2016)
Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Lars Polsterer
Model-coupled autoencoder for time series visualisation. Neurocomputing 192 (2016)
Sven Dennis Kügler, Nikolaos Gianniotis, Kai Lars Polsterer
A spectral model for multimodal redshift estimation. SSCI (2016)
Kai Lars Polsterer
Dealing with Uncertain Multimodal Photometric Redshift Estimations. Astroinformatics (2016)
Maximilian Hoecker, Kai Lars Polsterer, Sven Dennis Kügler, Vincent Heuveline
Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties. CSE (2015)
Fabian Gieseke, Kai Lars Polsterer, Cosmin Eugen Oancea, Christian Igel
Speedy greedy feature selection: Better redshift estimation via massive parallelism. ESANN (2014)
Justin Heinermann, Oliver Kramer, Kai Lars Polsterer, Fabian Gieseke
On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy. KI (2013)
Oliver Kramer, Fabian Gieseke, Kai Lars Polsterer
Learning morphological maps of galaxies with unsupervised regression. Expert Syst. Appl. 40 (8) (2013)
Fabian Gieseke, Kai Lars Polsterer, Andreas Thom, Peter Zinn, Dominik Bomanns, Ralf-Jurgen Dettmar, Oliver Kramer, Jan Vahrenhold
Detecting Quasars in Large-Scale Astronomical Surveys. ICMLA (2010)