4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 4 cited
Structural Neural Additive Models: Enhanced Interpretable Machine Learning
Mattias Luber, Anton Thielmann, Benjamin Säfken
Deep neural networks (DNNs) have shown exceptional performances in a wide range of tasks and have become the go-to method for problems requiring high-level predictive power. There…
cs.SI2021
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models
Mattias Luber, Anton Thielmann, Christoph Weisser +1
Extracting topics from large collections of unstructured text-documents has become a central task in current NLP applications and algorithms like NMF, LDA as well as their generali…