| 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 | 171 | 2021 |
| 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 | 132 | 2018 |
| 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 | 60 | 2017 |
| 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 | 26* | 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 |
