Jörg Lücke

发表

Rapid Correspondence Finding in Networks of Cortical Columns

Jörg Lücke, Christoph von der Malsburg, C. Malsburg, 2006, ICANN.

Glial cells for information routing?

Jörg Lücke, Christoph von der Malsburg, Caroline Möller, 2007, Cognitive Systems Research.

Learning in a Generative Model with Competitive Combination Is Approximated by (Soft-)WTA Networks

Jörg Lücke, Maneesh Sahani, 2007 .

Expectation Truncation and the Benefits of Preselection In Training Generative Models

Julian Eggert, Jörg Lücke, J. Eggert, 2010, J. Mach. Learn. Res..

A truncated EM approach for spike-and-slab sparse coding

Jörg Lücke, Abdul-Saboor Sheikh, Jacquelyn A. Shelton, 2012, J. Mach. Learn. Res..

Combining approximate inference methods for efficient learning on large computer clusters

Zhenwen Dai, Jörg Lücke, Jörg Bornschein, 2012 .

Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks

Jörg Lücke, Abdul-Saboor Sheikh, Dennis Forster, 2015, Neural Computation.

Truncated variational EM for semi-supervised neural simpletrons

Jörg Lücke, Dennis Forster, Jörg Lücke, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Learning of Representations in a Canonical Model of Cortical Columns

Jörg Lücke, 2006 .

Binary Sparse Coding

Julian Eggert, Jörg Lücke, Jörg Bornschein, 2010, LVA/ICA.

Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models

Jörg Lücke, Marc Henniges, Jörg Lücke, 2012, AISTATS.

Autonomous cleaning of corrupted scanned documents - A generative modeling approach

Zhenwen Dai, Jörg Lücke, 2012, CVPR.

Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents pdf

Jörg Lücke, Enrico Guiraud, Jakob Drefs, 2020, ArXiv.

What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach

Zhenwen Dai, Jörg Lücke, Georgios Exarchakis, 2013, NIPS.

Macrocolumns as Decision Units

Rolf P. Würtz, Jörg Lücke, Christoph von der Malsburg, 2002, ICANN.

The Maximal Causes of Natural Scenes are Edge Filters

Jörg Lücke, Jörg Bornschein, Gervasio Puertas, 2010, NIPS.

Occlusive Components Analysis

Richard E. Turner, Jörg Lücke, Maneesh Sahani, 2009, NIPS.

Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means

Jörg Lücke, Dennis Forster, Jörg Lücke, 2017, AISTATS.

Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding

Jörg Lücke, Jörg Bornschein, Abdul-Saboor Sheikh, 2012, NIPS.

Neural Simpletrons - Minimalistic Probabilistic Networks for Learning With Few Labels pdf

Jörg Lücke, Abdul-Saboor Sheikh, Dennis Forster, 2015, ArXiv.

Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations

Jörg Lücke, Klaus Obermayer, Raphaël Holca-Lamarre, 2017, Front. Comput. Neurosci..

Feedforward Inhibition and Synaptic Scaling – Two Sides of the Same Coin?

Jörg Lücke, Cristina Savin, Christian Keck, 2012, PLoS Comput. Biol..

Generalized Softmax Networks for Non-linear Component Extraction

Jörg Lücke, Maneesh Sahani, M. Sahani, 2007, ICANN.

Learning of Lateral Connections for Representational Invariant Recognition

Jörg Lücke, Christian Keck, 2010, ICANN.

Clustering with minicolumnar receptive field self-organization

Jörg Lücke, 2004 .

Maximal Causes for Exponential Family Observables pdf

Jörg Lücke, Jakob Drefs, S. Hamid Mousavi, 2020, ArXiv.

ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions pdf

Zhenwen Dai, Jörg Lücke, Jörg Bornschein, 2019, ArXiv.

Evolutionary Variational Optimization of Generative Models pdf

Jörg Lücke, Enrico Guiraud, Jakob Drefs, 2020, ArXiv.

Unsupervised learning of translation invariant occlusive components

Zhenwen Dai, Jörg Lücke, Zhenwen Dai, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Optimal neural inference of stimulus intensities

Jörg Lücke, Cristina Savin, Travis Monk, 2018, Scientific Reports.

Efficient occlusive components analysis

Richard E. Turner, Julian Eggert, Jörg Lücke, 2014, J. Mach. Learn. Res..

STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds

Richard E. Turner, Zhenwen Dai, Jörg Lücke, 2019, PLoS Comput. Biol..

k-means as a variational EM approximation of Gaussian mixture models

Jörg Lücke, Dennis Forster, Jörg Lücke, 2017, Pattern Recognit. Lett..

Beitrag zur experimentellen Parameteridentifikation linearer mechanischer Systeme mittels Modalanalyse

Jörg Lücke, 1984 .

Dynamics of Cortical Columns - Self-organization of Receptive Fields

Jörg Lücke, Jan D. Bouecke, 2005, ICANN.

Accelerated Training of Large-Scale Gaussian Mixtures by a Merger of Sublinear Approaches pdf

Jörg Lücke, Dennis Forster, Florian Hirschberger, 2018, ArXiv.

GP-Select: Accelerating EM Using Adaptive Subspace Preselection

Arthur Gretton, Zhenwen Dai, Jörg Lücke, 2014, Neural Computation.

Data-driven methods reveal the generalizing mechanisms of speech processing in naturally varying soundscapes

Jörg Lücke, Moritz Boos, Jochem Rieger, 2018 .

Dynamics of Cortical Columns - Sensitive Decision Making

Jörg Lücke, Jörg Lücke, 2005, ICANN.

Learning of Neural Information Routing for Correspondence Finding

Jörg Lücke, Jan D. Bouecke, 2008, ICANN.

Are V1 Simple Cells Optimized for Visual Occlusions? A Comparative Study

Jörg Lücke, Jörg Bornschein, Marc Henniges, 2013, PLoS Comput. Biol..

Autonomous Document Cleaning—A Generative Approach to Reconstruct Strongly Corrupted Scanned Texts

Zhenwen Dai, Jörg Lücke, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A recurrent dynamic model for correspondence-based face recognition.

Christian Wolff, Jörg Lücke, Philipp Wolfrum, 2008, Journal of vision.

Autonomous cleaning of corrupted scanned documents — A generative modeling approach

Zhenwen Dai, Jörg Lücke, Zhenwen Dai, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Evolutionary expectation maximization

Jörg Lücke, Enrico Guiraud, Jakob Drefs, 2018, GECCO.

Closed-Form EM for Sparse Coding and Its Application to Source Separation

Jörg Lücke, Abdul-Saboor Sheikh, Jörg Lücke, 2011, LVA/ICA.

Hilberticus - A Tool Deciding an Elementary Sublanguage of Set Theory

Jörg Lücke, 2001, IJCAR.

Hierarchical self-organization of minicolumnar receptive fields

Jörg Lücke, Jörg Lücke, 2004, Neural Networks.

Rapid Convergence to Feature Layer Correspondences

Jörg Lücke, Christoph von der Malsburg, Christian Keck, 2008, Neural Computation.

Select-and-Sample for Spike-and-Slab Sparse Coding

Jörg Lücke, Abdul-Saboor Sheikh, Jörg Lücke, 2016, NIPS.

The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies pdf

Jörg Lücke, Dennis Forster, Zhenwen Dai, 2020, ArXiv.

Ternary Sparse Coding

Julian Eggert, Jörg Lücke, Marc Henniges, 2012, LVA/ICA.

Receptive Field Self-Organization in a Model of the Fine Structure in V1 Cortical Columns

Jörg Lücke, Jörg Lücke, 2009, Neural Computation.

Binary Non-Negative Matrix Deconvolution for Audio Dictionary Learning

Jörg Lücke, Szymon Drgas, Tuomas Virtanen, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Nonlinear Spike-And-Slab Sparse Coding for Interpretable Image Encoding

Jörg Lücke, Jörg Bornschein, Abdul-Saboor Sheikh, 2015, PloS one.

Select and Sample - A Model of Efficient Neural Inference and Learning

Jörg Lücke, Jörg Bornschein, Abdul-Saboor Sheikh, 2011, NIPS.

Large Scale Clustering with Variational EM for Gaussian Mixture Models

Jörg Lücke, Dennis Forster, Florian Hirschberger, 2018, 1810.00803.

Rapid Processing and Unsupervised Learning in a Model of the Cortical Macrocolumn

Jörg Lücke, Christoph von der Malsburg, C. Malsburg, 2004, Neural Computation.

Truncated Variational Sampling for 'Black Box' Optimization of Generative Models

Zhenwen Dai, Jörg Lücke, Georgios Exarchakis, 2017, LVA/ICA.

Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics

Jörg Lücke, Cristina Savin, Travis Monk, 2016, NIPS.

A Dynamical Model for Receptive Field Self-organization in V1 Cortical Columns

Jörg Lücke, Jörg Lücke, 2007, ICANN.

Invariant Face Recognitionin a Network of Cortical Columns

Jörg Lücke, Christoph von der Malsburg, Philipp Wolfrum, 2008, VISAPP.

Discrete Sparse Coding

Jörg Lücke, Georgios Exarchakis, Georgios Exarchakis, 2017, Neural Computation.

Speaker tracking for hearing aids

Steven van de Par, Jörg Lücke, Joachim Thiemann, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

A Closed-Form EM Algorithm for Sparse Coding

Jörg Lücke, Abdul-Saboor Sheikh, Jörg Lücke, 2011 .

Maximal Causes for Non-linear Component Extraction

Jörg Lücke, Maneesh Sahani, M. Sahani, 2008, J. Mach. Learn. Res..

Generalizable dimensions of human cortical auditory processing of speech in natural soundscapes: A data-driven ultra high field fMRI approach

Jörg Lücke, Jochem W. Rieger, Moritz Boos, 2021, NeuroImage.

Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data

Jörg Lücke, Enrico Guiraud, Jakob Drefs, 2021, Entropy.