Kai Lars Polsterer

15 papers B 4C 1Misc 1Journal 5Unranked 4

Year	Rank	Type	Title / 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