Jörg Lücke
Orcid: 0000-0001-9921-2529Affiliations:
- University of Oldenburg, Germany
- University College London, UK
According to our database1,
Jörg Lücke
authored at least 65 papers
between 1984 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
J. Mach. Learn. Res., 2022
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.
NeuroImage, 2021
Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data.
Entropy, 2021
2020
CoRR, 2020
The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies.
CoRR, 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
2019
Pattern Recognit. Lett., 2019
STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds.
PLoS Comput. Biol., 2019
ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions.
CoRR, 2019
2018
Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks.
Neural Comput., 2018
Accelerated Training of Large-Scale Gaussian Mixtures by a Merger of Sublinear Approaches.
CoRR, 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
IEEE ACM Trans. Audio Speech Lang. Process., 2017
Neural Comput., 2017
Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations.
Frontiers Comput. Neurosci., 2017
Probabilistic and unsupervised machine learning for auditory data and pattern recognition.
Proceedings of the Signal Processing: Algorithms, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
2015
Neural Simpletrons - Minimalistic Probabilistic Networks for Learning With Few Labels.
CoRR, 2015
2014
Autonomous Document Cleaning - A Generative Approach to Reconstruct Strongly Corrupted Scanned Texts.
IEEE Trans. Pattern Anal. Mach. Intell., 2014
2013
PLoS Comput. Biol., 2013
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach.
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
PLoS Comput. Biol., 2012
Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models.
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.
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
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
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.
J. Mach. Learn. Res., 2010
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
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
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.
Neural Comput., 2009
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
Invariant Face Recognitionin a Network of Cortical Columns.
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
Proceedings of the Artificial Neural Networks, 2008
2007
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the Artificial Neural Networks, 2007
2006
Proceedings of the Artificial Neural Networks, 2006
2005
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
2004
Neural Networks, 2004
Neural Comput., 2004
2002
2001
Proceedings of the Automated Reasoning, First International Joint Conference, 2001
1984
Beitrag zur experimentellen Parameteridentifikation linearer mechanischer Systeme mittels Modalanalyse.
PhD thesis, 1984