Jörg Lücke
18 papers · 2008–2024 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (13) 🌉 Interdisciplinary Bridge 🌍 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
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