Jörg Lücke
18 papers · 2008–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Keyword Champion
(6)
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Keyword Pioneer
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Trend Setter
🔥
Unstoppable · Bronze
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The Questioner
(3)
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Century Club · Bronze
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Keyword Collector
(83)
Top co-authors
Research topics
Machine Learning
(17)
Learning Types · Machine Learning
(11)
Optimization & Theory
(11)
Deep Learning
(10)
Core Methods
(9)
Models
(9)
Bayesian & Probabilistic · Machine Learning
(7)
Artificial Intelligence
(6)
Computer Vision
(4)
Interdisciplinary
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Core AI
(3)
Analysis
(2)
Cognitive Science
(2)
Learning Types · Deep Learning
(2)
Keywords
generative model
(10)
variational inference
(8)
sparse coding
(6)
expectation maximization
(5)
latent variable model
(3)
unsupervised learning
(3)
posterior approximation
(3)
image patch
(2)
evidence lower bound
(2)
occlusion modeling
(2)
zero-shot learning
(2)
gibbs sampling
(2)
neural network
(2)
image denoising
(2)
probabilistic generative model
(2)
spike-and-slab prior
(2)
image patches
(2)
variational em
(2)
variational autoencoder
(2)
visual feature learning
(1)
Papers
Blind Zero-Shot Audio Restoration: A Variational Autoencoder Approach for Denoising and Inpainting
Interspeech 2024
Learning Sparse Codes with Entropy-Based ELBOs
AISTATS 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
NeurIPS 2016
Select-and-Sample for Spike-and-Slab Sparse Coding
NeurIPS 2016
A Truncated EM Approach for Spike-and-Slab Sparse Coding
JMLR 2014
Efficient Occlusive Components Analysis
JMLR 2014
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach
NeurIPS 2013
Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models
AISTATS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding
NeurIPS 2012
Select and Sample - A Model of Efficient Neural Inference and Learning
NeurIPS 2011
Expectation Truncation and the Benefits of Preselection In Training Generative Models
JMLR 2010
The Maximal Causes of Natural Scenes are Edge Filters
NeurIPS 2010
Occlusive Components Analysis
NeurIPS 2009
Maximal Causes for Non-linear Component Extraction
JMLR 2008