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Jörg Lücke

18 papers · 2008–2024 · 4 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (16) 🗺️ Taxonomy Completionist (13) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏆 Keyword Champion (4) 🗃️ Keyword Collector (78) 📈 Trend Setter 💎 Century Club (18) 🔥 Unstoppable (7) ❓ The Questioner (3)

Conferences

NIPS (7) JMLR (6) AISTATS (4) INTERSPEECH (1)

Top co-authors

Abdul-saboor Sheikh (3) Joerg Bornschein (3) Jakob Drefs (3) Jacquelyn A. Shelton (3) Marc Henniges (3) Maneesh Sahani (3) Simon Damm (2) Dmytro Velychko (2) Julian Eggert (2) Dennis Forster (2)

Keywords

generative model (9) variational inference (8) sparse coding (6) expectation maximization (5) latent variable model (3) posterior approximation (3) image patch (2) unsupervised learning (2) evidence lower bound (2) image patches (2) zero-shot learning (2) variational em (2) image denoising (2) neural network (2) probabilistic generative model (2) variational autoencoder (2) gibbs sampling (2) spike-and-slab prior (2) markov chain monte carlo (1) independent component analysis (1)

Papers

Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024
Blind Zero-Shot Audio Restoration: A Variational Autoencoder Approach for Denoising and Inpainting INTERSPEECH 2024
Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables JMLR 2023
The ELBO of Variational Autoencoders Converges to a Sum of Entropies AISTATS 2023
Evolutionary Variational Optimization of Generative Models JMLR 2022
Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means AISTATS 2018
Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics NIPS 2016
Select-and-Sample for Spike-and-Slab Sparse Coding NIPS 2016
Efficient Occlusive Components Analysis JMLR 2014
A Truncated EM Approach for Spike-and-Slab Sparse Coding JMLR 2014
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NIPS 2013
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NIPS 2012
Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models AISTATS 2012
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Expectation Truncation and the Benefits of Preselection In Training Generative Models JMLR 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Occlusive Components Analysis NIPS 2009
Maximal Causes for Non-linear Component Extraction JMLR 2008