| Beyond manual tuning of hyperparameters F Hutter, J Lücke, L Schmidt-Thieme KI-Künstliche Intelligenz 29, 329-337, 2015 | 242 | 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 | 139 | 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 | 61 | 2014 |
| k-Means as a Variational EM Approximation of Gaussian Mixture Models J Lücke, D Forster Pattern Recognition Letters 125, 349--356, 2019 | 59 | 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 | 56 | 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 | 50 | 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 | 46 | 2014 |
| The maximal causes of natural scenes are edge filters J Puertas, J Bornschein, J Lücke Advances in Neural Information Processing Systems 23, 2010 | 44 | 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 | 40 | 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 | 31* | 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 | 30* | 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 | 27 | 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 |
| Occlusive components analysis J Lücke, R Turner, M Sahani, M Henniges Advances in Neural Information Processing Systems (NIPS), 1069-1077, 2009 | 24 | 2009 |
Jörg BornscheinDeepMind在 google.com 的电子邮件经过验证
