Kai Lars Polsterer

15 papers B 4C 1Misc 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2024 B conf
Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms.
ESANN
Ondrej Podsztavek, Alexander I. Jordan, Pavel Tvrdík, Kai Lars Polsterer
2024 J jnl
Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations.
CoRR
Kai Lars Polsterer, Bernd Doser, Andreas Fehlner, Sebastian Trujillo-Gomez
2022 J jnl
Convolutional autoencoders for spatially-informed ensemble post-processing.
CoRR
Sebastian Lerch, Kai Lars Polsterer
2017 — conf
Massively-parallel best subset selection for ordinary least-squares regression.
SSCI
Fabian Gieseke, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, Tom Heskes
2017 B conf
Uncertain photometric redshifts via combining deep convolutional and mixture density networks.
ESANN
Antonio D'Isanto, Kai Lars Polsterer
2016 — conf
A spectral model for multimodal redshift estimation.
SSCI
Sven Dennis Kügler, Nikolaos Gianniotis, Kai Lars Polsterer
2016 — conf
Dealing with Uncertain Multimodal Photometric Redshift Estimations.
Astroinformatics
Kai Lars Polsterer
2016 J jnl
Model-Coupled Autoencoder for Time Series Visualisation.
CoRR
Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Lars Polsterer
2016 J jnl
Model-coupled autoencoder for time series visualisation.
Neurocomputing
Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Lars Polsterer
2016 B conf
Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs.
ESANN
Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis
2015 — conf
Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties.
CSE
Maximilian Hoecker, Kai Lars Polsterer, Sven Dennis Kügler, Vincent Heuveline
2014 B conf
Speedy greedy feature selection: Better redshift estimation via massive parallelism.
ESANN
Fabian Gieseke, Kai Lars Polsterer, Cosmin Eugen Oancea, Christian Igel
2013 J jnl
Learning morphological maps of galaxies with unsupervised regression.
Expert Syst. Appl.
Oliver Kramer, Fabian Gieseke, Kai Lars Polsterer
2013 Misc conf
On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy.
KI
Justin Heinermann, Oliver Kramer, Kai Lars Polsterer, Fabian Gieseke
2010 C conf
Detecting Quasars in Large-Scale Astronomical Surveys.
ICMLA
Fabian Gieseke, Kai Lars Polsterer, Andreas Thom, Peter Zinn, Dominik Bomanns, Ralf-Jurgen Dettmar, Oliver Kramer, Jan Vahrenhold