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09/07/2022
On the Convergence of the ELBO to Entropy Sums
The variational lower bound (a.k.a. ELBO or free energy) is the central ...
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12/22/2020
Evolutionary Variational Optimization of Generative Models
We combine two popular optimization approaches to derive learning algori...
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11/27/2020
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
Discrete latent variables are considered important for real world data, ...
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10/28/2020
The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies
The central objective function of a variational autoencoder (VAE) is its...
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03/04/2020
Maximal Causes for Exponential Family Observables
The data model of standard sparse coding assumes a weighted linear summa...
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10/01/2018
Accelerated Training of Large-Scale Gaussian Mixtures by a Merger of Sublinear Approaches
We combine two recent lines of research on sublinear clustering to signi...
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12/21/2017
Truncated Variational Sampling for "Black Box" Optimization of Generative Models
We investigate the optimization of two generative models with binary hid...
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11/09/2017
Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means
One iteration of k-means or EM for Gaussian mixture models (GMMs) scales...
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04/16/2017
k-Means is a Variational EM Approximation of Gaussian Mixture Models
We show that k-means (Lloyd's algorithm) is equivalent to a variational ...
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02/07/2017
Truncated Variational EM for Semi-Supervised Neural Simpletrons
Inference and learning for probabilistic generative networks is often ve...
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10/10/2016
Truncated Variational Expectation Maximization
We derive a novel variational expectation maximization approach based on...
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06/28/2015
Neural Simpletrons - Minimalistic Directed Generative Networks for Learning with Few Labels
Classifiers for the semi-supervised setting often combine strong supervi...
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11/15/2012
A Truncated EM Approach for Spike-and-Slab Sparse Coding
We study inference and learning based on a sparse coding model with `spi...
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01/12/2012
Autonomous Cleaning of Corrupted Scanned Documents - A Generative Modeling Approach
We study the task of cleaning scanned text documents that are strongly c...
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05/12/2011