20 citations · 27 across the 4 of their papers we have counts for
4 papers
Efficient Generator of Mathematical Expressions for Symbolic Regression
Sebastian Mežnar, Sašo Džeroski, Ljupčo Todorovski
We propose an approach to symbolic regression based on a novel variational autoencoder for generating hierarchical structures, HVAE. It combines simple atomic units with shared wei…
Link Analysis meets Ontologies: Are Embeddings the Answer?
Sebastian Mežnar, Matej Bevec, Nada Lavrač +1
The increasing amounts of semantic resources offer valuable storage of human knowledge; however, the probability of wrong entries increases with the increased size. The development…
Predicting Generalization in Deep Learning via Metric Learning -- PGDL Shared task
Sebastian Mežnar, Blaž Škrlj
The competition "Predicting Generalization in Deep Learning (PGDL)" aims to provide a platform for rigorous study of generalization of deep learning models and offer insight into t…
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
Sebastian Mežnar, Nada Lavrač, Blaž Škrlj
Learning from complex real-life networks is a lively research area, with recent advances in learning information-rich, low-dimensional network node representations. However, state-…