Jörg Lücke

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Jörg BornscheinDeepMindVerified email at google.com
Zhenwen DaiSpotifyVerified email at spotify.com
Dennis ForsterFrankfurt University of Applied ScienceVerified email at fb3.fra-uas.de
Maneesh SahaniGatsby Unit, UCLVerified email at gatsby.ucl.ac.uk
Julian EggertSenior Chief Scientist, Honda Research InstituteVerified email at honda-ri.de
Philipp WolfrumSenior Research Scientist, Siemens TechnologyVerified email at siemens.com
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyVerified email at ismll.uni-hildesheim.de
Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
Cristina SavinNYUVerified email at nyu.edu
Travis MonkPostdoc, the MARCS Institute, Western Sydney UniversityVerified email at westernsydney.edu.au
Pietro BerkesVerified email at brandeis.edu
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindVerified email at gatsby.ucl.ac.uk
Rolf P. WürtzResearcher at Institut für Neuroinformatik, Ruhr-University Bochum, GermanyVerified email at rub.de
Szymon DrgasPoznan University of TechnologyVerified email at put.poznan.pl
Antti HurmalainenDSP Algorithm Developer, YousicianVerified email at tut.fi
Tuomas VirtanenTampere UniversityVerified email at tuni.fi
Jacquelyn SheltonTechnical University Berlin

Jörg Lücke

Professor for Machine Learning, University of Oldenburg, Germany.

Verified email at uni-oldenburg.de - Homepage

Machine Learning Artificial Intelligence Data Science Pattern Recognition Comp. Neuroscience


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Beyond manual tuning of hyperparameters F Hutter, J Lücke, L Schmidt-Thieme KI-Künstliche Intelligenz 29, 329-337, 2015	270	2015
Hysteresis effects on the input–output curve of motor evoked potentials C Möller, N Arai, J Lücke, U Ziemann Clinical Neurophysiology 120 (5), 1003-1008, 2009	148	2009
Maximal causes for non-linear component extraction J Lücke, M Sahani Journal of Machine Learning Research 9 (Jun), 1227-1267, 2008	81	2008
Rapid processing and unsupervised learning in a model of the cortical macrocolumn J Lücke, C von der Malsburg Neural Computation 16 (3), 501-533, 2004	73	2004
Automated detection of circulating tumor cells with naive Bayesian classifiers CM Svensson, S Krusekopf, J Lücke, M Thilo Figge Cytometry Part A 85 (6), 501-511, 2014	67	2014
k-Means as a Variational EM Approximation of Gaussian Mixture Models J Lücke, D Forster Pattern Recognition Letters 125, 349--356, 2019	63	2019
Expectation truncation and the benefits of preselection in training generative models J Lücke, J Eggert The Journal of Machine Learning Research 11, 2855-2900, 2010	57	2010
A recurrent dynamic model for correspondence-based face recognition P Wolfrum, C Wolff, J Lücke, C von der Malsburg Journal of Vision 8 (7), 34-34, 2008	53	2008
Binary sparse coding M Henniges, G Puertas, J Bornschein, J Eggert, J Lücke Latent Variable Analysis and Signal Separation: 9th International Conference …, 2010	48	2010
A truncated EM approach for spike-and-slab sparse coding AS Sheikh, JA Shelton, J Lücke The Journal of Machine Learning Research 15 (1), 2653-2687, 2014	45	2014
The maximal causes of natural scenes are edge filters J Puertas, J Bornschein, J Lücke Advances in Neural Information Processing Systems 23, 2010	43	2010
Feedforward inhibition and synaptic scaling–two sides of the same coin? C Keck, C Savin, J Lücke PLOS Computational Biology 8 (3), e1002432, 2012	41	2012
Receptive field self-organization in a model of the fine structure in V1 cortical columns J Lücke Neural computation 21 (10), 2805-2845, 2009	37	2009
Neural simpletrons: Learning in the limit of few labels with directed generative networks D Forster, AS Sheikh, J Lücke Neural computation 30 (8), 2113-2174, 2018	34*	2018
Autonomous document cleaning—a generative approach to reconstruct strongly corrupted scanned texts Z Dai, J Lücke IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (10), 1950 …, 2014	31*	2014
Are V1 simple cells optimized for visual occlusions? A comparative study J Bornschein, M Henniges, J Lücke PLOS Computational Biology 9 (6), e1003062, 2013	26	2013
Closed-form EM for sparse coding and its application to source separation J Lücke, AS Sheikh International Conference on Latent Variable Analysis and Signal Separation …, 2012	25*	2012
Select and sample-a model of efficient neural inference and learning J Shelton, A Sheikh, P Berkes, J Bornschein, J Lücke Advances in neural information processing systems 24, 2011	25	2011
Rapid convergence to feature layer correspondences J Lücke, C Keck, C von der Malsburg Neural Computation 20 (10), 2441-2463, 2008	25	2008
GP-select: Accelerating EM using adaptive subspace preselection JA Shelton, J Gasthaus, Z Dai, J Lücke, A Gretton Neural Computation 29 (8), 2177-2202, 2017	24	2017

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