Jörg Lücke

According to our database, Jörg Lücke authored at least 68 papers between 1984 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards multidimensional attentive voice tracking - estimating voice state from auditory glimpses with regression neural networks and Monte Carlo sampling.

Joanna Luberadzka, Hendrik Kayser, Jörg Lücke, Volker Hohmann

EURASIP J. Audio Speech Music. Process., December, 2024

Zero-shot denoising of microscopy images recorded at high-resolution limits.

Sebastian Salwig, Jakob Drefs, Jörg Lücke

PLoS Comput. Biol., 2024

Learning Sparse Codes with Entropy-Based ELBOs.

Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables.

S. Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke

J. Mach. Learn. Res., 2023

The ELBO of Variational Autoencoders Converges to a Sum of Entropies.

Simon Damm, Dennis Forster, Dmytro Velychko, Zhenwen Dai, Asja Fischer, Jörg Lücke

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Variational EM Acceleration for Efficient Clustering at Very Large Scales.

Florian Hirschberger, Dennis Forster, Jörg Lücke

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Evolutionary Variational Optimization of Generative Models.

Jakob Drefs, Enrico Guiraud, Jörg Lücke

J. Mach. Learn. Res., 2022

On the Convergence of the ELBO to Entropy Sums.

Jörg Lücke

CoRR, 2022

Direct Evolutionary Optimization of Variational Autoencoders with Binary Latents.

Jakob Drefs, Enrico Guiraud, Filippos Panagiotou, Jörg Lücke

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

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

Moritz Boos, Jörg Lücke, Jochem W. Rieger

NeuroImage, 2021

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

S. Hamid Mousavi, Mareike Buhl, Enrico Guiraud, Jakob Drefs, Jörg Lücke

Entropy, 2021

2020

Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents.

Enrico Guiraud, Jakob Drefs, Jörg Lücke

CoRR, 2020

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

Jörg Lücke, Dennis Forster, Zhenwen Dai

CoRR, 2020

Maximal Causes for Exponential Family Observables.

S. Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke

CoRR, 2020

A Double-Dictionary Approach Learns Component Means and Variances for V1 Encoding.

S. Hamid Mousavi, Jakob Drefs, Jörg Lücke

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

<i>k</i>-means as a variational EM approximation of Gaussian mixture models.

Jörg Lücke, Dennis Forster

Pattern Recognit. Lett., 2019

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

Abdul-Saboor Sheikh, Nicol S. Harper, Jakob Drefs, Yosef Singer, Zhenwen Dai, Richard E. Turner, Jörg Lücke

PLoS Comput. Biol., 2019

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

Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke

CoRR, 2019

2018

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

Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke

Neural Comput., 2018

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

Florian Hirschberger, Dennis Forster, Jörg Lücke

CoRR, 2018

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

Jörg Lücke, Zhenwen Dai, Georgios Exarchakis

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Evolutionary expectation maximization.

Enrico Guiraud, Jakob Drefs, Jörg Lücke

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

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

Dennis Forster, Jörg Lücke

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Binary Non-Negative Matrix Deconvolution for Audio Dictionary Learning.

Szymon Drgas, Tuomas Virtanen, Jörg Lücke, Antti Hurmalainen

IEEE ACM Trans. Audio Speech Lang. Process., 2017

GP-Select: Accelerating EM Using Adaptive Subspace Preselection.

Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai, Jörg Lücke, Arthur Gretton

Neural Comput., 2017

Discrete Sparse Coding.

Georgios Exarchakis, Jörg Lücke

Neural Comput., 2017

Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations.

Raphaël Holca-Lamarre, Jörg Lücke, Klaus Obermayer

Frontiers Comput. Neurosci., 2017

Probabilistic and unsupervised machine learning for auditory data and pattern recognition.

Jörg Lücke

Proceedings of the Signal Processing: Algorithms, 2017

Truncated variational EM for semi-supervised neural simpletrons.

Dennis Forster, Jörg Lücke

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

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

Abdul-Saboor Sheikh, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics.

Travis Monk, Cristina Savin, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Speaker tracking for hearing aids.

Joachim Thiemann, Jörg Lücke, Steven van de Par

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015

Beyond Manual Tuning of Hyperparameters.

Frank Hutter, Jörg Lücke, Lars Schmidt-Thieme

Künstliche Intell., 2015

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

Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke

CoRR, 2015

2014

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

Zhenwen Dai, Jörg Lücke

IEEE Trans. Pattern Anal. Mach. Intell., 2014

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

Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke

J. Mach. Learn. Res., 2014

Efficient occlusive components analysis.

Marc Henniges, Richard E. Turner, Maneesh Sahani, Julian Eggert, Jörg Lücke

J. Mach. Learn. Res., 2014

2013

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

Jörg Bornschein, Marc Henniges, Jörg Lücke

PLoS Comput. Biol., 2013

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

Zhenwen Dai, Georgios Exarchakis, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

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

Christian Keck, Cristina Savin, Jörg Lücke

PLoS Comput. Biol., 2012

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

Jörg Lücke, Marc Henniges

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

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

Jacquelyn A. Shelton, Philip Sterne, Jörg Bornschein, Abdul-Saboor Sheikh, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

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

Jörg Lücke, Abdul-Saboor Sheikh

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Ternary Sparse Coding.

Georgios Exarchakis, Marc Henniges, Julian Eggert, Jörg Lücke

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Autonomous cleaning of corrupted scanned documents - A generative modeling approach.

Zhenwen Dai, Jörg Lücke

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Unsupervised learning of translation invariant occlusive components.

Zhenwen Dai, Jörg Lücke

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

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

Jacquelyn A. Shelton, Jörg Bornschein, Abdul-Saboor Sheikh, Pietro Berkes, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Expectation Truncation and the Benefits of Preselection In Training Generative Models.

Jörg Lücke, Julian Eggert

J. Mach. Learn. Res., 2010

The Maximal Causes of Natural Scenes are Edge Filters.

Gervasio Puertas, Jörg Bornschein, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning of Lateral Connections for Representational Invariant Recognition.

Christian Keck, Jörg Lücke

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Binary Sparse Coding.

Marc Henniges, Gervasio Puertas, Jörg Bornschein, Julian Eggert, Jörg Lücke

Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009

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

Jörg Lücke

Neural Comput., 2009

Occlusive Components Analysis.

Jörg Lücke, Richard E. Turner, Maneesh Sahani, Marc Henniges

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Rapid Convergence to Feature Layer Correspondences.

Jörg Lücke, Christian Keck, Christoph von der Malsburg

Neural Comput., 2008

Maximal Causes for Non-linear Component Extraction.

Jörg Lücke, Maneesh Sahani

J. Mach. Learn. Res., 2008

Invariant Face Recognitionin a Network of Cortical Columns.

Philipp Wolfrum, Jörg Lücke, Christoph von der Malsburg

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Learning of Neural Information Routing for Correspondence Finding.

Jan D. Bouecke, Jörg Lücke

Proceedings of the Artificial Neural Networks, 2008

2007

Glial cells for information routing?

Caroline Möller, Jörg Lücke, Junmei Zhu, Pedro M. Faustmann, Christoph von der Malsburg

Cogn. Syst. Res., 2007

Generalized Softmax Networks for Non-linear Component Extraction.

Jörg Lücke, Maneesh Sahani

Proceedings of the Artificial Neural Networks, 2007

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

Jörg Lücke

Proceedings of the Artificial Neural Networks, 2007

2006

Rapid Correspondence Finding in Networks of Cortical Columns.

Jörg Lücke, Christoph von der Malsburg

Proceedings of the Artificial Neural Networks, 2006

2005

Dynamics of Cortical Columns - Self-organization of Receptive Fields.

Jörg Lücke, Jan D. Bouecke

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Dynamics of Cortical Columns - Sensitive Decision Making.

Jörg Lücke

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004

Hierarchical self-organization of minicolumnar receptive fields.

Jörg Lücke

Neural Networks, 2004

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

Jörg Lücke, Christoph von der Malsburg

Neural Comput., 2004

2002

Macrocolumns as Decision Units.

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

Proceedings of the Artificial Neural Networks, 2002

2001

Hilberticus - A Tool Deciding an Elementary Sublanguage of Set Theory.

Jörg Lücke

Proceedings of the Automated Reasoning, First International Joint Conference, 2001

1984

Beitrag zur experimentellen Parameteridentifikation linearer mechanischer Systeme mittels Modalanalyse.

Jörg Lücke

PhD thesis, 1984