Jakob Macke

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	6831	4894
h-индекс	40	32
i10-индекс	73	60

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Публичен достъп

Преглед на всички

59 статии

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Въз основа на изисквания при финансирането

Съавтори

Pedro J. GoncalvesVIB-Neuroelectronics Research Flanders (NERF)Потвърден имейл адрес: nerf.be
Michael DeistlerTübingen UniversityПотвърден имейл адрес: uni-tuebingen.de
Jan-Matthis LueckmannGoogleПотвърден имейл адрес: jan-matthis.de
Matthias BethgeTübingen University & Maddox Co-FounderПотвърден имейл адрес: bethgelab.org
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHПотвърден имейл адрес: tuebingen.mpg.de
Giacomo Bassettoresearch center caesar, an associate of the Max Planck Society, Bonn, GermanyПотвърден имейл адрес: caesar.de
David S GreenbergHelmholz Centre HereonПотвърден имейл адрес: hereon.de
Jan BoeltsTransferLab - appliedAI Institute for EuropeПотвърден имейл адрес: appliedai-institute.de
Marcel NonnenmacherUniversity College LondonПотвърден имейл адрес: ucl.ac.uk
Stephen R GreenUniversity of NottinghamПотвърден имейл адрес: nottingham.ac.uk
Maximilian DaxPostdoctoral Researcher at ETH ZurichПотвърден имейл адрес: inf.ethz.ch
Srinivas C. TuragaHHMI Janelia Research CampusПотвърден имейл адрес: janelia.hhmi.org
Felix WichmannEberhard Karls Universität TübingenПотвърден имейл адрес: uni-tuebingen.de
Lars BuesingGoogle DeepMindПотвърден имейл адрес: google.com
Philipp BerensHertie Institute for AI in Brain Health, University of TübingenПотвърден имейл адрес: uni-tuebingen.de
Alessandra BuonannoDirector, Max Planck Institute for Gravitational Physics, Potsdam; Professor, University of MarylandПотвърден имейл адрес: aei.mpg.de
Kaan ÖcalPostdoctoral Researcher, University of MelbourneПотвърден имейл адрес: unimelb.edu.au
Maneesh SahaniGatsby Unit, UCLПотвърден имейл адрес: gatsby.ucl.ac.uk
Álvaro Tejero-CanteroPenpot (Kaleidos Ventures)Потвърден имейл адрес: teje.ro
Poornima RameshStudent, University of TuebingenПотвърден имейл адрес: uni-tuebingen.de

Следене

Jakob Macke

Machine Learning in Science, Tübingen University

Потвърден имейл адрес: uni-tuebingen.de - Начална страница

Machine learning AI for Science NeuroAI Computational neuroscience Simulation-based inference


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data HH Schütt, S Harmeling, JH Macke, FA Wichmann Vision research 122, 105-123, 2016	393	2016
Automatic Posterior Transformation for Likelihood-Free Inference Greenberg D. S., Nonnenmacher M., Macke J. H. Proceedings of the 36th International Conference on Machine Learning, ICML …, 2019	352*	2019
sbi: A toolkit for simulation-based inference A Tejero-Cantero, J Boelts, M Deistler, JM Lueckmann, C Durkan, ... Journal of Open Source Software 5 (52), 2505, 2020	306	2020
Intrinsic dimension of data representations in deep neural networks A Ansuini, A Laio, JH Macke, Z D Advances in Neural Information Processing Systems 32 (Neurips 2019), 2019	302	2019
Empirical models of spiking in neural populations JH Macke, L Buesing, JP Cunningham, BM Yu, KV Shenoy, M Sahani Advances in Neural Information Processing Systems 24, 2011	302	2011
Flexible statistical inference for mechanistic models of neural dynamics JM Lueckmann, PJ Goncalves, G Bassetto, K Öcal, M Nonnenmacher, ... Advances in neural information processing systems 30, 2017	298	2017
Neural population coding: combining insights from microscopic and mass signals S Panzeri, JH Macke, J Gross, C Kayser Trends in cognitive sciences 19 (3), 162-172, 2015	262	2015
Real-time gravitational wave science with neural posterior estimation M Dax, SR Green, J Gair, JH Macke, A Buonanno, B Schölkopf Physical review letters 127 (24), 241103, 2021	246	2021
Training deep neural density estimators to identify mechanistic models of neural dynamics PJ Gonçalves, JM Lueckmann, M Deistler, M Nonnenmacher, K Öcal, ... elife 9 (e56261), 2020	245	2020
Generating spike trains with specified correlation coefficients JH Macke, P Berens, AS Ecker, AS Tolias, M Bethge Neural Computation 21 (2), 397-423, 2009	234	2009
Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression R Küffner, N Zach, R Norel, J Hawe, D Schoenfeld, L Wang, G Li, L Fang, ... Nature biotechnology 33 (1), 51-57, 2015	220	2015
Benchmarking Simulation-Based Inference JM Lueckmann, J Boelts, D Greenberg, P Goncalves, JH Macke International Conference on Artificial Intelligence and Statistics, 343-351, 2021	217	2021
Quantifying the effect of intertrial dependence on perceptual decisions I Fründ, FA Wichmann, JH Macke Journal of vision 14 (7), 9-9, 2014	215	2014
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	214	2021
Inferring decoding strategies from choice probabilities in the presence of correlated variability RM Haefner, S Gerwinn, JH Macke, M Bethge Nature neuroscience 16 (2), 235-242, 2013	182	2013
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	153	2018
Likelihood-free inference with emulator networks JHM Jan-Matthis Lueckmann, Giacomo Bassetto, Theofanis Karaletsos Proceedings of The 1st Symposium on Advances in Approximate Bayesian …, 2019	144*	2019
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? DGT Barrett, AS Morcos, JH Macke Current opinion in neurobiology 55, 55-64, 2019	140	2019
Simulation Intelligence: Towards a New Generation of Scientific Methods A Lavin, H Zenil, B Paige, D Krakauer, J Gottschlich, T Mattson, ... arXiv preprint arXiv:2112.03235, 2021	135	2021
Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity JH Macke, M Opper, M Bethge Physical Review Letters 106 (20), 208102, 2011	115	2011

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