54 citations · 61 across the 5 of their papers we have counts for
5 papers
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean
Anton Thielmann, René-Marcel Kruse, Thomas Kneib +1
Deep neural networks (DNNs) have proven to be highly effective in a variety of tasks, making them the go-to method for problems requiring high-level predictive power. Despite this…
Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class
Anton Thielmann, Christoph Weisser, Benjamin Säfken
Few-shot methods for accurate modeling under sparse label-settings have improved significantly. However, the applications of few-shot modeling in natural language processing remain…
Twitmo: A Twitter Data Topic Modeling and Visualization Package for R
Andreas Buchmüller, Gillian Kant, Christoph Weisser +3
We present Twitmo, a package that provides a broad range of methods to collect, pre-process, analyze and visualize geo-tagged Twitter data. Twitmo enables the user to collect geo-t…
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…
Conditional Model Selection in Mixed-Effects Models with cAIC4
Benjamin Säfken, David Rügamer, Thomas Kneib +1
Model selection in mixed models based on the conditional distribution is appropriate for many practical applications and has been a focus of recent statistical research. In this pa…