Jorg Lucke
Jorg Lucke
Professor of Machine Learning, University of Oldenburg, Germany.
Verified email at uni-oldenburg.de - Homepage
Title
Cited by
Cited by
Year
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
922009
Beyond manual tuning of hyperparameters
F Hutter, J Lücke, L Schmidt-Thieme
KI-Künstliche Intelligenz 29 (4), 329-337, 2015
822015
Maximal causes for non-linear component extraction
J Lücke, M Sahani
Journal of Machine Learning Research 9 (Jun), 1227-1267, 2008
762008
Rapid processing and unsupervised learning in a model of the cortical macrocolumn
J Lücke, C Malsburg
Neural Computation 16 (3), 501-533, 2004
702004
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
502010
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
432008
The maximal causes of natural scenes are edge filters
J Puertas, J Bornschein, J Lücke
Advances in Neural Information Processing Systems 23, 1939-1947, 2010
412010
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
382014
Binary sparse coding
M Henniges, G Puertas, J Bornschein, J Eggert, J Lücke
International Conference on Latent Variable Analysis and Signal Separation …, 2010
382010
Receptive field self-organization in a model of the fine structure in V1 cortical columns
J Lücke
Neural computation 21 (10), 2805-2845, 2009
372009
Feedforward inhibition and synaptic scaling–two sides of the same coin?
C Keck, C Savin, J Lücke
PLOS Computational Biology 8 (3), e1002432, 2012
342012
Refined lower bounds for adversarial bandits
S Gerchinovitz, T Lattimore
Advances in Neural Information Processing Systems 29, 1198-1206, 2016
332016
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
332014
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
26*2014
Select and Sample-A Model of Efficient Neural Inference and Learning.
JA Shelton, J Bornschein, AS Sheikh, P Berkes, J Lücke
NIPS 24, 2618-2626, 2011
252011
Rapid convergence to feature layer correspondences
J Lücke, C Keck, C von der Malsburg
Neural Computation 20 (10), 2441-2463, 2008
252008
Occlusive components analysis
J Lücke, R Turner, M Sahani, M Henniges
Advances in Neural Information Processing Systems (NIPS), 1069-1077, 2009
242009
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
23*2018
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
23*2012
Hierarchical self-organization of minicolumnar receptive fields
J Lücke
Neural Networks 17 (8-9), 1377-1389, 2004
172004
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Articles 1–20