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Artur Speiser
Artur Speiser
Senior AI Research Engineer, Exscientia
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Year
Deep learning enables fast and dense single-molecule localization with high accuracy
A Speiser, LR Müller, P Hoess, U Matti, CJ Obara, WR Legant, A Kreshuk, ...
Nature methods 18 (9), 1082-1090, 2021
1502021
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data
P Berens, J Freeman, T Deneux, N Chenkov, T McColgan, A Speiser, ...
PLoS computational biology 14 (5), e1006157, 2018
1302018
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
A Speiser, J Yan, EW Archer, L Buesing, SC Turaga, JH Macke
Advances in neural information processing systems 30, 2017
572017
Teaching deep neural networks to localize single molecules for super-resolution microscopy
A Speiser, LR Müller, U Matti, CJ Obara, WR Legant, J Ries, JH Macke, ...
arXiv preprint arXiv:1907.00770, 2019
25*2019
Generative Model based Training of Deep Neural Networks for Event Detection in Microscopy Data
A Speiser
Universität Tübingen, 2023
2023
Verbundprojekt: ADIMEM: Sachbericht zum Verwendungsnachweis: Automatische, daten-getriebene Inferenz in mechanistischen Modellen: gemeinsamer Bericht über Teilprojekte AD
J Macke, P Hennig, P Berens, M Oberländer, JM Lückmann, A Speiser
Eberhard Karls Universität Tübingen, 2022
2022
Study of the Higgs sector of the NMSSM at the LHC; Untersuchung des Higgs-Sektors des NMSSM am LHC
F Weiser, W Boer, F Ratnikov, S Wayand, F Frensch, C Beskidt, C Luedtke, ...
Verhandlungen der Deutschen Physikalischen Gesellschaft, 2013
2013
Search for charginos and neutralinos in multileptonic decay channels with the CMS detector at the LHC; Suche nach Charginos und Neutralinos in multileptonischen …
S Wayand, W Boer, F Ratnikov, M Niegel, F Frensch, F Weiser, A Speiser, ...
Verhandlungen der Deutschen Physikalischen Gesellschaft, 2013
2013
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