Jörg Lücke

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 33

Top Venues

Technische Hochschule Magdeburg, Germany (PHD)

Education History

Technische Hochschule Magdeburg, Germany

PHD

Publications

Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke
Learning Sparse Codes with Entropy-Based ELBOs. AISTATS (2024)
Joanna Luberadzka, Hendrik Kayser, Jörg Lücke, Volker Hohmann
Towards multidimensional attentive voice tracking - estimating voice state from auditory glimpses with regression neural networks and Monte Carlo sampling. EURASIP J. Audio Speech Music. Process. 2024 (1) (2024)
Simon Damm, Dennis Forster, Dmytro Velychko, Zhenwen Dai, Asja Fischer, Jörg Lücke
The ELBO of Variational Autoencoders Converges to a Sum of Entropies. AISTATS (2023)
Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke
Learning Sparse Codes with Entropy-Based ELBOs. CoRR (2023)
Florian Hirschberger, Dennis Forster, Jörg Lücke
A Variational EM Acceleration for Efficient Clustering at Very Large Scales. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Jörg Lücke
On the Convergence of the ELBO to Entropy Sums. CoRR (2022)
Jakob Drefs, Enrico Guiraud, Filippos Panagiotou, Jörg Lücke
Direct Evolutionary Optimization of Variational Autoencoders with Binary Latents. ECML/PKDD (3) (2022)
Jakob Drefs, Enrico Guiraud, Jörg Lücke
Evolutionary Variational Optimization of Generative Models. J. Mach. Learn. Res. 23 (2022)
S. Hamid Mousavi, Mareike Buhl, Enrico Guiraud, Jakob Drefs, Jörg Lücke
Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data. Entropy 23 (5) (2021)
Moritz Boos, Jörg Lücke, Jochem W. Rieger
Generalizable dimensions of human cortical auditory processing of speech in natural soundscapes: A data-driven ultra high field fMRI approach. NeuroImage 237 (2021)
Enrico Guiraud, Jakob Drefs, Jörg Lücke
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents. CoRR (2020)
S. Hamid Mousavi, Jakob Drefs, Jörg Lücke
A Double-Dictionary Approach Learns Component Means and Variances for V1 Encoding. LOD (2) (2020)
S. Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke
Maximal Causes for Exponential Family Observables. CoRR (2020)
Jörg Lücke, Dennis Forster, Zhenwen Dai
The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies. CoRR (2020)
Jakob Drefs, Enrico Guiraud, Jörg Lücke
Evolutionary Variational Optimization of Generative Models. CoRR (2020)
Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke
ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions. CoRR (2019)
Abdul-Saboor Sheikh, Nicol S. Harper, Jakob Drefs, Yosef Singer, Zhenwen Dai, Richard E. Turner, Jörg Lücke
STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. PLoS Comput. Biol. 15 (1) (2019)
Jörg Lücke, Dennis Forster
-means as a variational EM approximation of Gaussian mixture models. Pattern Recognit. Lett. 125 (2019)
Enrico Guiraud, Jakob Drefs, Jörg Lücke
Evolutionary expectation maximization. GECCO (2018)
Florian Hirschberger, Dennis Forster, Jörg Lücke
Accelerated Training of Large-Scale Gaussian Mixtures by a Merger of Sublinear Approaches. CoRR (2018)
Jörg Lücke, Zhenwen Dai, Georgios Exarchakis
Truncated Variational Sampling for 'Black Box' Optimization of Generative Models. LVA/ICA (2018)
Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke
Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks. Neural Comput. 30 (8) (2018)
Dennis Forster, Jörg Lücke
Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means. AISTATS (2018)
Dennis Forster, Jörg Lücke
Truncated variational EM for semi-supervised neural simpletrons. IJCNN (2017)
Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai, Jörg Lücke, Arthur Gretton
GP-Select: Accelerating EM Using Adaptive Subspace Preselection. Neural Comput. 29 (8) (2017)
Raphaël Holca-Lamarre, Jörg Lücke, Klaus Obermayer
Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations. Frontiers Comput. Neurosci. 11 (2017)
Georgios Exarchakis, Jörg Lücke
Discrete Sparse Coding. Neural Comput. 29 (11) (2017)
Szymon Drgas, Tuomas Virtanen, Jörg Lücke, Antti Hurmalainen
Binary Non-Negative Matrix Deconvolution for Audio Dictionary Learning. IEEE ACM Trans. Audio Speech Lang. Process. 25 (8) (2017)
Dennis Forster, Jörg Lücke
Truncated Variational EM for Semi-Supervised Neural Simpletrons. CoRR (2017)
Jörg Lücke
Probabilistic and unsupervised machine learning for auditory data and pattern recognition. SPA (2017)
Abdul-Saboor Sheikh, Jörg Lücke
Select-and-Sample for Spike-and-Slab Sparse Coding. NIPS (2016)
Travis Monk, Cristina Savin, Jörg Lücke
Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics. NIPS (2016)
Joachim Thiemann, Jörg Lücke, Steven van de Par
Speaker tracking for hearing aids. MLSP (2016)
Frank Hutter, Jörg Lücke, Lars Schmidt-Thieme
Beyond Manual Tuning of Hyperparameters. Künstliche Intell. 29 (4) (2015)
Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke
Neural Simpletrons - Minimalistic Probabilistic Networks for Learning With Few Labels. CoRR (2015)
Marc Henniges, Richard E. Turner, Maneesh Sahani, Julian Eggert, Jörg Lücke
Efficient occlusive components analysis. J. Mach. Learn. Res. 15 (1) (2014)
Zhenwen Dai, Jörg Lücke
Autonomous Document Cleaning - A Generative Approach to Reconstruct Strongly Corrupted Scanned Texts. IEEE Trans. Pattern Anal. Mach. Intell. 36 (10) (2014)
Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai, Jörg Lücke, Arthur Gretton
GP-select: Accelerating EM using adaptive subspace preselection. CoRR (2014)
Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke
A truncated EM approach for spike-and-slab sparse coding. J. Mach. Learn. Res. 15 (1) (2014)
Zhenwen Dai, Georgios Exarchakis, Jörg Lücke
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach. NIPS (2013)
Jörg Bornschein, Marc Henniges, Jörg Lücke
Are V1 Simple Cells Optimized for Visual Occlusions? A Comparative Study. PLoS Comput. Biol. 9 (6) (2013)
Zhenwen Dai, Jörg Lücke
Autonomous cleaning of corrupted scanned documents - A generative modeling approach. CVPR (2012)
Jörg Lücke, Marc Henniges
Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models. AISTATS (2012)
Christian Keck, Cristina Savin, Jörg Lücke
Feedforward Inhibition and Synaptic Scaling - Two Sides of the Same Coin? PLoS Comput. Biol. 8 (3) (2012)
Zhenwen Dai, Jörg Lücke
Autonomous Cleaning of Corrupted Scanned Documents - A Generative Modeling Approach CoRR (2012)
Georgios Exarchakis, Marc Henniges, Julian Eggert, Jörg Lücke
Ternary Sparse Coding. LVA/ICA (2012)
Jörg Lücke, Abdul-Saboor Sheikh
Closed-Form EM for Sparse Coding and Its Application to Source Separation. LVA/ICA (2012)
Zhenwen Dai, Jörg Lücke
Unsupervised learning of translation invariant occlusive components. CVPR (2012)
Jacquelyn A. Shelton, Philip Sterne, Jörg Bornschein, Abdul-Saboor Sheikh, Jörg Lücke
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding. NIPS (2012)
Jacquelyn A. Shelton, Jörg Bornschein, Abdul-Saboor Sheikh, Pietro Berkes, Jörg Lücke
Select and Sample - A Model of Efficient Neural Inference and Learning. NIPS (2011)
Gervasio Puertas, Jörg Bornschein, Jörg Lücke
The Maximal Causes of Natural Scenes are Edge Filters. NIPS (2010)
Marc Henniges, Gervasio Puertas, Jörg Bornschein, Julian Eggert, Jörg Lücke
Binary Sparse Coding. LVA/ICA (2010)
Christian Keck, Jörg Lücke
Learning of Lateral Connections for Representational Invariant Recognition. ICANN (3) (2010)
Jörg Lücke, Julian Eggert
Expectation Truncation and the Benefits of Preselection In Training Generative Models. J. Mach. Learn. Res. 11 (2010)
Jörg Lücke
Receptive Field Self-Organization in a Model of the Fine Structure in V1 Cortical Columns. Neural Comput. 21 (10) (2009)
Jörg Lücke, Richard E. Turner, Maneesh Sahani, Marc Henniges
Occlusive Components Analysis. NIPS (2009)
Philipp Wolfrum, Jörg Lücke, Christoph von der Malsburg
Invariant Face Recognitionin a Network of Cortical Columns. VISAPP (2) (2008)
Jörg Lücke, Christian Keck, Christoph von der Malsburg
Rapid Convergence to Feature Layer Correspondences. Neural Comput. 20 (10) (2008)
Jörg Lücke, Maneesh Sahani
Maximal Causes for Non-linear Component Extraction. J. Mach. Learn. Res. 9 (2008)
Jan D. Bouecke, Jörg Lücke
Learning of Neural Information Routing for Correspondence Finding. ICANN (2) (2008)
Jörg Lücke
A Dynamical Model for Receptive Field Self-organization in V1 Cortical Columns. ICANN (2) (2007)
Jörg Lücke, Maneesh Sahani
Generalized Softmax Networks for Non-linear Component Extraction. ICANN (1) (2007)
Caroline Möller, Jörg Lücke, Junmei Zhu, Pedro M. Faustmann, Christoph von der Malsburg
Glial cells for information routing? Cogn. Syst. Res. 8 (1) (2007)
Jörg Lücke, Christoph von der Malsburg
Rapid Correspondence Finding in Networks of Cortical Columns. ICANN (1) (2006)
Jörg Lücke, Jan D. Bouecke
Dynamics of Cortical Columns - Self-organization of Receptive Fields. ICANN (1) (2005)
Jörg Lücke
Dynamics of Cortical Columns - Sensitive Decision Making. ICANN (1) (2005)
Jörg Lücke, Christoph von der Malsburg
Rapid Processing and Unsupervised Learning in a Model of the Cortical Macrocolumn. Neural Comput. 16 (3) (2004)
Jörg Lücke
Hierarchical self-organization of minicolumnar receptive fields. Neural Networks 17 (8-9) (2004)
Jörg Lücke, Christoph von der Malsburg, Rolf P. Würtz
Macrocolumns as Decision Units. ICANN (2002)
Jörg Lücke
Hilberticus - A Tool Deciding an Elementary Sublanguage of Set Theory. IJCAR (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jörg Lücke