Dr. Kai Polsterer

2023

• Nunez FP, Gianniotis N, Polsterer K (2023). A Gaussian process cross-correlation approach to time-delay estimation in active galactic nuclei, A&A 1657
• Djorgovski S, Mahabal A, Graham M, Polsterer K, Krone-Martins A (2023). Applications of AI in Astronomy 1622
• Nuñez FP, Bruckmann C, Desamutara S, Czerny B, Panda S, Lobban AP, Pietrzyński G, Polsterer KL (2023). Modeling photometric reverberation mapping data for the next generation of big data surveys. Quasar accretion disks sizes with the LSST, Monthly Notices of the Royal Astronomical Society,stad286 1630

2022

• Boch T, Allen M, Bot C, Fernique P, Baumann M, Buga M, Bonnarel F, Durand D, Polsterer K (2022). Innovative Tools Fostered by the HiPS Ecosystem 1623
• Plier J, Zisler M, Furkel J, Knoll M, Marx A, Fischer A, Polsterer K, Konstandin MH, Petra S (2022). Learning Features via Transformer Networks for Cardiomyocyte Profiling, Bildverarbeitung für die Medizin 2022,pp.167-172,Springer Fachmedien Wiesbaden 1481

2021

• Gianniotis N, Nuñez FP, Polsterer KL (2021). Disentangling the optical AGN and host-galaxy luminosity with a probabilistic flux variation gradient, A&A 1303
• Mostert RIJ, Duncan KJ, Röttgering HJA, Polsterer KL, Best PN, Brienza M, Brüggen M, Hardcastle MJ, Jurlin N, Mingo B, Morganti R, Shimwell T, Smith D, Williams WL (2021). Unveiling the rarest morphologies of the LOFAR Two-metre Sky Survey radio source population with self-organised maps, A&A 645:A89 1225

2020

• Polsterer KL (2020). Birds of a Feather Session on Machine Learning in Astronomy 1227
• Galvin TJ, Huynh MT, Norris RP, Wang XR, Hopkins E, Polsterer K, Ralph NO, O’Brien AN, Heald GH (2020). Cataloguing the radio-sky with unsupervised machine learning: a new approach for the SKA era, Monthly Notices of the Royal Astronomical Society 497(3):2730-2758 1164

2019

• Nuñez FP, Gianniotis N, Blex J, Lisow T, Chini R, Polsterer KL, Pott J, Esser J, Pietrzyński G (2019). Optical continuum photometric reverberation mapping of the Seyfert-1 galaxy Mrk509, Monthly Notices of the Royal Astronomical Society 490(3):3936-3951 474
• Galvin TJ, Huynh M, Norris RP, Wang XR, Hopkins E, Wong OI, Shabala S, Rudnick L, Alger MJ, Polsterer KL (2019). Radio Galaxy Zoo: Knowledge Transfer Using Rotationally Invariant Self-organizing Maps, PASP 131(1004):108009 1035

2018

• D’Isanto A, Polsterer KL (2018). Photometric redshift estimation via deep learning. Generalized and pre-classification-less, image based, fully probabilistic redshifts, A&A 609:A111 205
• D’Isanto A, Cavuoti S, Gieseke F, Polsterer KL (2018). Return of the features – Efficient feature selection and interpretation for photometric redshifts, Astronomy & Astrophysics, 616:A97 315

2017

• Gieseke F, Polsterer KL, Mahabal A, Igel C, Heskes T (2017). Massively-parallel best subset selection for ordinary least-squares regression, 2017 IEEE Symposium Series on Computational Intelligence (SSCI),pp.1-8,IEEE 207
• Polsterer K (2017). Astroinformatics; a new discipline or business as usual?, In Astronomical Data Analysis Software an Systems XXVII (ADASS XXVII), vol. 496 of Astronomical Society of the Pacific Conference Series, Eds: Taylor, A. R. and Rosolowsky, E., Sep 2017 209
• D’Isanto A, Polsterer KL (2017). Uncertain photometric redshifts via combining deep convolutional and mixture density networks, In 25th European Symposium on Artificial Neural Networks, ESANN 2015, Bruges, Belgium, April 26-28, 2017 1133

2016

• Polsterer K (2016). Dealing with Uncertain Multimodal Photometric Redshift Estimations, Proc. IAU 12(S325):156-165. 2016 106
• Polsterer KL (2016). Dealing with Uncertain Multimodal Photometric Redshift Estimations., Proc. IAU 12(S325):156-165 208
• Crawford E, Norris R, Polsterer K (2016). WTF? Discovering the Unexpected in next-generation radio continuum surveys, 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 105
• Polsterer K, Gieseke F (2016). Probability Density Functions for Astronomy, 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 108
• Kügler S, Gianniotis N, Polsterer K (2016). An explorative approach for inspecting Kepler data, Monthly Notices of the Royal Astronomical Society, 455(4):4399–4405 102
• Polsterer K, Gieseke F, Igel C, Doser B, Gianniotis N (2016). Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs, In European Symposium on Artificial Neural Networks (ESANN), pp. 405–410 103

2015

• Hoecker M, Polsterer KL, Kugler SD, Heuveline V (2015). Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties, 2015 IEEE 18th International Conference on Computational Science and Engineering,pp.82-91,IEEE 36
• López-Sánchez AR, Maksym WP, Polsterer KL, Borden K, Hollow RP, Whyte L (2015). Radio Galaxy Zoo: host galaxies and radio morphologies derived from visual inspection, Mon. Not. R. Astron. Soc. 453(3):2327-2341 35
• Polsterer KL, Gieseke F, Igel C (2015). Automatic Galaxy Classification via Machine Learning Techniques: Parallelized Rotation/Flipping INvariant Kohonen Maps (PINK), In Astronomical Data Analysis Software an Systems XXIV (ADASS XXIV), vol. 495 of Astronomical Society of the Pacific Conference Series, p. 81, Eds: Taylor, A. R. and Rosolowsky, E., Sep 2015 34
• Polsterer KL, Gieseke F, Gianniotis N, Kuegler SD (2015). Analyzing Complex and Structured Data via Unsupervised Learning Techniques, IAU General Assembly, 22:2258115, Aug 2015 32
• Kügler SD, Gianniotis N, Polsterer KL (2015). Featureless classification of light curves, Mon. Not. R. Astron. Soc. 451(4):3385-3392 33
• Gianniotis N, Kügler SD, Tino P, Polsterer KL, Misra R (2015). Autoencoding Time Series for Visualisation, In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 495-500, May 2015 31
• Kügler SD, Polsterer K, Hoecker M (2015). Determining spectroscopic redshifts by using k nearest neighbor regression. I. Description of method and analysis, A&A 576:A132 30
• Hoecker M, Polsterer KL, Kugler SD, Heuveline V (2015). Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties, In Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, pp. 82-91 62

2014

• Polsterer KL, Gieseke F, Igel C, Goto T (2014). Improving the performance of photometric regression models via massive parallel feature selection, Astronomical Data Analysis Software and Systems XXIII, 485:425 447
• Gieseke F, Polsterer K, Oancea CE, Igel C (2014). Speedy Greedy Feature Selection: Better Redshift Estimation via Massive Parallelism, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 23-25 April 2014 446

2013

• Heinermann J, Kramer O, Polsterer KL, Gieseke F (2013). On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy, In KI 2013: Advances in Artificial Intelligence, pp. 86–97, Springer Berlin Heidelberg, Berlin, Heidelberg 448

2012

• Gieseke F, Polsterer K, Zinn P (2012). Photometric Redshift Estimation of Quasars: Local versus Global Regression, Astronomical Data Analysis Software and Systems XXI. Proceedings of a Conference held at Marriott Rive Gauche Conference Center, Paris, France, 6-10 November 470

2011

• Assef RJ, Denney KD, Kochanek CS, Peterson BM, Kozłowski S, Ageorges N, Barrows RS, Buschkamp P, Dietrich M, Falco E, Feiz C, Gemperlein H, Germeroth A, Grier CJ, Hofmann R, Juette M, Khan R, Kilic M, Knierim V, Laun W, Lederer R, Lehmitz M, Lenzen R, Mall U, Madsen KK, Mandel H, Martini P, Mathur S, Mogren K, Mueller P, Naranjo V, Pasquali A, Polsterer K, Pogge RW, Quirrenbach A, Seifert W, Stern D, Shappee B, Storz C, Saders JV, Weiser P, Zhang D (2011). Black Hole Mass Estimates Based on C IV are Consistent with Those Based on the Balmer Lines, ApJ 742(2):93 453
• Pasquali A, Bik A, Zibetti S, Ageorges N, Seifert W, Brandner W, Rix H, Jütte M, Knierim V, Buschkamp P, Feiz C, Gemperlein H, Germeroth A, Hofmann R, Laun W, Lederer R, Lehmitz M, Lenzen R, Mall U, Mandel H, Müller P, Naranjo V, Polsterer K, Quirrenbach A, Schäffner L, Storz C, Weiser P (2011). Infrared Narrowband Tomography of the Local Starburst NGC 1569 with the Large Binocular Telescope/LUCIFER., The Astronomical Journal 141(4):132 454

2004

• Mandel H, Appenzeller I, Seifert W, Baumeister H, Bizenberger P, Dettmar R, Gemperlein H, Grimm B, Herbst TM, Hofmann R, Jutte M, Laun W, Lehmitz M, Ligori S, Lenzen R, Polsterer K, Rohloff R, Schuetze A, Seltmann A, Weiser P, Weisz H, Xu W (2004). LUCIFER status report, summer 2004, Ground-based Instrumentation for Astronomy,p.1208,SPIE 458

2002

• Seifert W, Appenzeller I, Baumeister H, Bizenberger P, Bomans D, Dettmar R, Grimm B, Herbst T, Hofmann R, Juette M, Laun W, Lehmitz M, Lemke R, Lenzen R, Mandel H, Polsterer K, Rohloff R, Schuetze A, Seltmann A, Thatte NA, Weiser P, Xu W (2002). LUCIFER: a Multi-Mode NIR Instrument for the LBT, Instrument Design and Performance for Optical/Infrared Ground-based Telescopes,p.962,SPIE 457