Lücke, Jörg

21 publications

AISTATS 2024 Learning Sparse Codes with Entropy-Based ELBOs Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke

JMLR 2023 Generic Unsupervised Optimization for a Latent Variable Model with Exponential Family Observables Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke

AISTATS 2023 The ELBO of Variational Autoencoders Converges to a Sum of Entropies Simon Damm, Dennis Forster, Dmytro Velychko, Zhenwen Dai, Asja Fischer, Jörg Lücke

ECML-PKDD 2022 Direct Evolutionary Optimization of Variational Autoencoders with Binary Latents Jakob Drefs, Enrico Guiraud, Filippos Panagiotou, Jörg Lücke

JMLR 2022 Evolutionary Variational Optimization of Generative Models Jakob Drefs, Enrico Guiraud, Jörg Lücke

AISTATS 2018 Can Clustering Scale Sublinearly with Its Clusters? a Variational EM Acceleration of GMMs and K-Means Dennis Forster, Jörg Lücke

NeurIPS 2016 Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics Travis Monk, Cristina Savin, Jörg Lücke

NeurIPS 2016 Select-and-Sample for Spike-and-Slab Sparse Coding Abdul-Saboor Sheikh, Jörg Lücke

JMLR 2014 A Truncated EM Approach for Spike-and-Slab Sparse Coding Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke

JMLR 2014 Efficient Occlusive Components Analysis Marc Henniges, Richard E. Turner, Maneesh Sahani, Julian Eggert, Jörg Lücke

NeurIPS 2013 What Are the Invariant Occlusive Components of Image Patches? a Probabilistic Generative Approach Zhenwen Dai, Georgios Exarchakis, Jörg Lücke

CVPR 2012 Autonomous Cleaning of Corrupted Scanned Documents - A Generative Modeling Approach Zhenwen Dai, Jörg Lücke

AISTATS 2012 Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models Jorg Lucke, Marc Henniges

CVPR 2012 Unsupervised Learning of Translation Invariant Occlusive Components Zhenwen Dai, Jörg Lücke

NeurIPS 2012 Why MCA? Nonlinear Sparse Coding with Spike-and-Slab Prior for Neurally Plausible Image Encoding Philip Sterne, Joerg Bornschein, Abdul-saboor Sheikh, Jörg Lücke, Jacquelyn A. Shelton

NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning Jacquelyn A. Shelton, Abdul S. Sheikh, Pietro Berkes, Joerg Bornschein, Jörg Lücke

JMLR 2010 Expectation Truncation and the Benefits of Preselection in Training Generative Models Jörg Lücke, Julian Eggert

NeurIPS 2010 The Maximal Causes of Natural Scenes Are Edge Filters Jose Puertas, Joerg Bornschein, Jörg Lücke

NeurIPS 2009 Occlusive Components Analysis Jörg Lücke, Richard Turner, Maneesh Sahani, Marc Henniges

JMLR 2008 Maximal Causes for Non-Linear Component Extraction Jörg Lücke, Maneesh Sahani

NeCo 2004 Rapid Processing and Unsupervised Learning in a Model of the Cortical Macrocolumn Jörg Lücke, Christoph von der Malsburg