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83 Publications visible to you, out of a total of 83

Uncertain Photometric Redshifts with Deep Learning Methods

Astroinformatics

Abstract

Not specified

Author: Antonio Disanto

Date Published: 1st Oct 2016

Publication Type: Journal

Citation: IAU Symposium, Astroinformatics, vol. 325, Eds: Brescia, M. and Djorgovski, G. and Feigelson, E. and Longo, G. and S. Cavuoti, eds., Oct 2016

Created: 7th Sep 2019 at 07:35, Last updated: 5th Mar 2024 at 21:23

Dealing with Uncertain Multimodal Photometric Redshift Estimations.

Astroinformatics

Abstract

Not specified

Author: Kai L. Polsterer

Date Published: 1st Oct 2016

Publication Type: InProceedings

DOI: 10.1017/S1743921316013089

Citation: Proc. IAU 12(S325):156-165

Created: 7th Sep 2019 at 10:22, Last updated: 5th Mar 2024 at 21:23

WTF? Discovering the Unexpected in next-generation radio continuum surveys

Astroinformatics

Abstract

Not specified

Authors: E. Crawford, R. P. Norris, Kai L. Polsterer

Date Published: 1st Sep 2016

Publication Type: InProceedings

Citation: In Astronomical Data Analysis Software an Systems XXV (ADASS XXV), vol. 496 of Astronomical Society of the Pacific Conference Series, Eds: Taylor, A. R. and Rosolowsky, E., Sep 2016

Created: 7th Sep 2019 at 07:35, Last updated: 5th Mar 2024 at 21:23

Probability Density Functions for Astronomy

Astroinformatics

Abstract

Not specified

Authors: Kai L. Polsterer, Fabian Gieseke

Date Published: 1st Sep 2016

Publication Type: InProceedings

Citation: In Astronomical Data Analysis Software an Systems XXV (ADASS XXV), vol. 496 of Astronomical Society of the Pacific Conference Series, Eds: Taylor, A. R. and Rosolowsky, E., Sep 2016

Created: 7th Sep 2019 at 07:35, Last updated: 5th Mar 2024 at 21:23

Model-coupled autoencoder for time series visualisation

Astroinformatics

Abstract

Not specified

Authors: Nikolaos Gianniotis, Sven D. Kügler, Peter Tiňo, Kai L. Polsterer

Date Published: 1st Jun 2016

Publication Type: Journal

DOI: 10.1016/j.neucom.2016.01.086

Citation: Neurocomputing 192:139-146

Created: 18th Oct 2019 at 10:07, Last updated: 5th Mar 2024 at 21:23

Approximate variational inference based on a finite sample of Gaussian latent variables