papers
Publications (6)
cs.NE2014
Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization
Malte Probst, Franz Rothlauf, Jörn Grahl
cs.NE2015
Denoising Autoencoders for fast Combinatorial Black Box Optimization
Malte Probst
hep-th2017
Yang-Mills Theory and the ABC Conjecture
Yang-Hui He, Zhi Hu, Malte Probst +1
cs.NE2016
Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization
Malte Probst
cs.LG2015
Training a Restricted Boltzmann Machine for Classification by Labeling Model Samples
Malte Probst, Franz Rothlauf
cs.NE2016
Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization
Malte Probst, Franz Rothlauf