Jörg Lücke - RankMe

78 papers A* 2A 7B 2C 1Journal 42Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Disentanglement of Sources in a Multi-Stream Variational Autoencoder. CoRR Veranika Boukun, Jörg Lücke
2025	J	`jnl`	Generative Models with ELBOs Converging to Entropy Sums. CoRR Jan Warnken, Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke
2025	J	`jnl`	Linear and Nonlinear Generative Models for 'Zero-Shot' Image Denoising in the Limit of Few Photons. J. Math. Imaging Vis. S. Hamid Mousavi, Jörg Lücke
2025	J	`jnl`	Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters. CoRR Sebastian Salwig, Till Kahlke, Florian Hirschberger, Dennis Forster, Jörg Lücke
2024	A	`conf`	Blind Zero-Shot Audio Restoration: A Variational Autoencoder Approach for Denoising and Inpainting. INTERSPEECH Veranika Boukun, Jakob Drefs, Jörg Lücke
2024	A	`conf`	Learning Sparse Codes with Entropy-Based ELBOs. AISTATS Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke
2024	J	`jnl`	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. Joanna Luberadzka, Hendrik Kayser, Jörg Lücke, Volker Hohmann
2024	J	`jnl`	Zero-shot denoising of microscopy images recorded at high-resolution limits. PLoS Comput. Biol. Sebastian Salwig, Jakob Drefs, Jörg Lücke
2023	J	`jnl`	Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables. J. Mach. Learn. Res. S. Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke
2023	J	`jnl`	Learning Sparse Codes with Entropy-Based ELBOs. CoRR Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke
2023	A	`conf`	The ELBO of Variational Autoencoders Converges to a Sum of Entropies. AISTATS Simon Damm, Dennis Forster, Dmytro Velychko, Zhenwen Dai, Asja Fischer, Jörg Lücke
2022	J	`jnl`	A Variational EM Acceleration for Efficient Clustering at Very Large Scales. IEEE Trans. Pattern Anal. Mach. Intell. Florian Hirschberger, Dennis Forster, Jörg Lücke
2022	—	`conf`	Direct Evolutionary Optimization of Variational Autoencoders with Binary Latents. ECML/PKDD (3) Jakob Drefs, Enrico Guiraud, Filippos Panagiotou, Jörg Lücke
2022	J	`jnl`	Evolutionary Variational Optimization of Generative Models. J. Mach. Learn. Res. Jakob Drefs, Enrico Guiraud, Jörg Lücke
2022	J	`jnl`	On the Convergence of the ELBO to Entropy Sums. CoRR Jörg Lücke
2021	J	`jnl`	Generalizable dimensions of human cortical auditory processing of speech in natural soundscapes: A data-driven ultra high field fMRI approach. NeuroImage Moritz Boos, Jörg Lücke, Jochem W. Rieger
2021	J	`jnl`	Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data. Entropy S. Hamid Mousavi, Mareike Buhl, Enrico Guiraud, Jakob Drefs, Jörg Lücke
2020	—	`conf`	A Double-Dictionary Approach Learns Component Means and Variances for V1 Encoding. LOD (2) S. Hamid Mousavi, Jakob Drefs, Jörg Lücke
2020	J	`jnl`	Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents. CoRR Enrico Guiraud, Jakob Drefs, Jörg Lücke
2020	J	`jnl`	Evolutionary Variational Optimization of Generative Models. CoRR Jakob Drefs, Enrico Guiraud, Jörg Lücke
2020	J	`jnl`	Maximal Causes for Exponential Family Observables. CoRR S. Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke
2020	J	`jnl`	The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies. CoRR Jörg Lücke, Dennis Forster, Zhenwen Dai
2019	J	`jnl`	ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions. CoRR Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke
2019	J	`jnl`	STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. PLoS Comput. Biol. Abdul-Saboor Sheikh, Nicol S. Harper, Jakob Drefs, Yosef Singer, Zhenwen Dai, Richard E. Turner, Jörg Lücke
2018	J	`jnl`	Accelerated Training of Large-Scale Gaussian Mixtures by a Merger of Sublinear Approaches. CoRR Florian Hirschberger, Dennis Forster, Jörg Lücke
2018	A	`conf`	Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means. AISTATS Dennis Forster, Jörg Lücke
2018	A	`conf`	Evolutionary expectation maximization. GECCO Enrico Guiraud, Jakob Drefs, Jörg Lücke
2018	J	`jnl`	Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks. Neural Comput. Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke
2018	—	`conf`	Truncated Variational Sampling for 'Black Box' Optimization of Generative Models. LVA/ICA Jörg Lücke, Zhenwen Dai, Georgios Exarchakis
2017	J	`jnl`	Binary Non-Negative Matrix Deconvolution for Audio Dictionary Learning. IEEE ACM Trans. Audio Speech Lang. Process. Szymon Drgas, Tuomas Virtanen, Jörg Lücke, Antti Hurmalainen
2017	J	`jnl`	Discrete Sparse Coding. Neural Comput. Georgios Exarchakis, Jörg Lücke
2017	J	`jnl`	GP-Select: Accelerating EM Using Adaptive Subspace Preselection. Neural Comput. Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai, Jörg Lücke, Arthur Gretton
2017	J	`jnl`	Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations. Frontiers Comput. Neurosci. Raphaël Holca-Lamarre, Jörg Lücke, Klaus Obermayer
2017	—	`conf`	Probabilistic and unsupervised machine learning for auditory data and pattern recognition. SPA Jörg Lücke
2017	J	`jnl`	Truncated Variational EM for Semi-Supervised Neural Simpletrons. CoRR Dennis Forster, Jörg Lücke
2017	B	`conf`	Truncated variational EM for semi-supervised neural simpletrons. IJCNN Dennis Forster, Jörg Lücke
2016	—	`conf`	Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics. NIPS Travis Monk, Cristina Savin, Jörg Lücke
2016	—	`conf`	Select-and-Sample for Spike-and-Slab Sparse Coding. NIPS Abdul-Saboor Sheikh, Jörg Lücke
2016	—	`conf`	Speaker tracking for hearing aids. MLSP Joachim Thiemann, Jörg Lücke, Steven van de Par
2015	J	`jnl`	Beyond Manual Tuning of Hyperparameters. Künstliche Intell. Frank Hutter, Jörg Lücke, Lars Schmidt-Thieme
2015	J	`jnl`	Neural Simpletrons - Minimalistic Probabilistic Networks for Learning With Few Labels. CoRR Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke
2014	J	`jnl`	A truncated EM approach for spike-and-slab sparse coding. J. Mach. Learn. Res. Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke
2014	J	`jnl`	Autonomous Document Cleaning - A Generative Approach to Reconstruct Strongly Corrupted Scanned Texts. IEEE Trans. Pattern Anal. Mach. Intell. Zhenwen Dai, Jörg Lücke
2014	J	`jnl`	Efficient occlusive components analysis. J. Mach. Learn. Res. Marc Henniges, Richard E. Turner, Maneesh Sahani, Julian Eggert, Jörg Lücke
2014	J	`jnl`	GP-select: Accelerating EM using adaptive subspace preselection. CoRR Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai, Jörg Lücke, Arthur Gretton
2013	J	`jnl`	Are V1 Simple Cells Optimized for Visual Occlusions? A Comparative Study. PLoS Comput. Biol. Jörg Bornschein, Marc Henniges, Jörg Lücke
2013	—	`conf`	What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach. NIPS Zhenwen Dai, Georgios Exarchakis, Jörg Lücke
2012	J	`jnl`	Autonomous Cleaning of Corrupted Scanned Documents - A Generative Modeling Approach CoRR Zhenwen Dai, Jörg Lücke
2012	A*	`conf`	Autonomous cleaning of corrupted scanned documents - A generative modeling approach. CVPR Zhenwen Dai, Jörg Lücke
2012	—	`conf`	Closed-Form EM for Sparse Coding and Its Application to Source Separation. LVA/ICA Jörg Lücke, Abdul-Saboor Sheikh
2012	A	`conf`	Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models. AISTATS Jörg Lücke, Marc Henniges
2012	J	`jnl`	Feedforward Inhibition and Synaptic Scaling - Two Sides of the Same Coin? PLoS Comput. Biol. Christian Keck, Cristina Savin, Jörg Lücke
2012	—	`conf`	Ternary Sparse Coding. LVA/ICA Georgios Exarchakis, Marc Henniges, Julian Eggert, Jörg Lücke
2012	A*	`conf`	Unsupervised learning of translation invariant occlusive components. CVPR Zhenwen Dai, Jörg Lücke
2012	—	`conf`	Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding. NIPS Jacquelyn A. Shelton, Philip Sterne, Jörg Bornschein, Abdul-Saboor Sheikh, Jörg Lücke
2011	—	`conf`	Select and Sample - A Model of Efficient Neural Inference and Learning. NIPS Jacquelyn A. Shelton, Jörg Bornschein, Abdul-Saboor Sheikh, Pietro Berkes, Jörg Lücke
2010	—	`conf`	Binary Sparse Coding. LVA/ICA Marc Henniges, Gervasio Puertas, Jörg Bornschein, Julian Eggert, Jörg Lücke
2010	J	`jnl`	Expectation Truncation and the Benefits of Preselection In Training Generative Models. J. Mach. Learn. Res. Jörg Lücke, Julian Eggert
2010	—	`conf`	Learning of Lateral Connections for Representational Invariant Recognition. ICANN (3) Christian Keck, Jörg Lücke
2010	—	`conf`	The Maximal Causes of Natural Scenes are Edge Filters. NIPS Gervasio Puertas, Jörg Bornschein, Jörg Lücke
2009	—	`conf`	Occlusive Components Analysis. NIPS Jörg Lücke, Richard E. Turner, Maneesh Sahani, Marc Henniges
2009	J	`jnl`	Receptive Field Self-Organization in a Model of the Fine Structure in V1 Cortical Columns. Neural Comput. Jörg Lücke
2008	—	`conf`	Invariant Face Recognitionin a Network of Cortical Columns. VISAPP (2) Philipp Wolfrum, Jörg Lücke, Christoph von der Malsburg
2008	—	`conf`	Learning of Neural Information Routing for Correspondence Finding. ICANN (2) Jan D. Bouecke, Jörg Lücke
2008	J	`jnl`	Maximal Causes for Non-linear Component Extraction. J. Mach. Learn. Res. Jörg Lücke, Maneesh Sahani
2008	J	`jnl`	Rapid Convergence to Feature Layer Correspondences. Neural Comput. Jörg Lücke, Christian Keck, Christoph von der Malsburg
2007	—	`conf`	A Dynamical Model for Receptive Field Self-organization in V1 Cortical Columns. ICANN (2) Jörg Lücke
2007	—	`conf`	Generalized Softmax Networks for Non-linear Component Extraction. ICANN (1) Jörg Lücke, Maneesh Sahani
2007	J	`jnl`	Glial cells for information routing? Cogn. Syst. Res. Caroline Möller, Jörg Lücke, Junmei Zhu, Pedro M. Faustmann, Christoph von der Malsburg
2006	—	`conf`	Rapid Correspondence Finding in Networks of Cortical Columns. ICANN (1) Jörg Lücke, Christoph von der Malsburg
2005	—	`conf`	Dynamics of Cortical Columns - Self-organization of Receptive Fields. ICANN (1) Jörg Lücke, Jan D. Bouecke
2005	—	`conf`	Dynamics of Cortical Columns - Sensitive Decision Making. ICANN (1) Jörg Lücke
2004	B	`conf`	Clustering with minicolumnar receptive field self-organization. IJCNN Jörg Lücke
2004	J	`jnl`	Hierarchical self-organization of minicolumnar receptive fields. Neural Networks Jörg Lücke
2004	J	`jnl`	Rapid Processing and Unsupervised Learning in a Model of the Cortical Macrocolumn. Neural Comput. Jörg Lücke, Christoph von der Malsburg
2002	C	`conf`	Macrocolumns as Decision Units. ICANN Jörg Lücke, Christoph von der Malsburg, Rolf P. Würtz
2001	A	`conf`	Hilberticus - A Tool Deciding an Elementary Sublanguage of Set Theory. IJCAR Jörg Lücke
1984	—	`—`	Beitrag zur experimentellen Parameteridentifikation linearer mechanischer Systeme mittels Modalanalyse. Jörg Lücke