Benjamin Säfken

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Unbalanced Data

Additive Models

Augmented Lagrangian

Top Venues

J. Open Source Softw.

Soc. Netw. Anal. Min.

Publications

Anton Frederik Thielmann, Arik Reuter, Thomas Kneib, David Rügamer, Benjamin Säfken
Interpretable Additive Tabular Transformer Networks. Trans. Mach. Learn. Res. 2024 (2024)
Anton Frederik Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. AISTATS (2024)
Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib
Probabilistic Topic Modelling with Transformer Representations. CoRR (2024)
Anton Frederik Thielmann, Christoph Weisser, Benjamin Säfken
Human in the Loop: How to Effectively Create Coherent Topics by Manually Labeling Only a Few Documents per Class. LREC/COLING (2024)
Arik Reuter, Anton Thielmann, Benjamin Säfken
Neural Additive Image Model: Interpretation through Interpolation. CoRR (2024)
Arik Reuter, Anton Thielmann, Christoph Weisser, Sebastian Fischer, Benjamin Säfken
GPTopic: Dynamic and Interactive Topic Representations. CoRR (2024)
Gillian Kant, Ivan Zhelyazkov, Anton Thielmann, Christoph Weisser, Michael Schlee, Christoph Ehrling, Benjamin Säfken, Thomas Kneib
One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading. Soc. Netw. Anal. Min. 14 (1) (2024)
Mattias Luber, Anton Thielmann, Benjamin Säfken
Structural Neural Additive Models: Enhanced Interpretable Machine Learning. CoRR (2023)
Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken
Coherence based Document Clustering. ICSC (2023)
Anton Thielmann, Quentin Seifert, Arik Reuter, Elisabeth Bergherr, Benjamin Säfken
Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence. CoRR (2023)
Eric Loff, Sören Schleibaum, Jörg P. Müller, Benjamin Säfken
Explaining Taxi Demand Prediction Models Based on Feature Importance. ECAI Workshops (1) (2023)
Christoph Weisser, Christoph Gerloff, Anton Thielmann, Andre Python, Arik Reuter, Thomas Kneib, Benjamin Säfken
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data. Comput. Stat. 38 (2) (2023)
Anton Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. CoRR (2023)
Anton Thielmann, Christoph Weisser, Benjamin Säfken
Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class. CoRR (2022)
Andreas Buchmüller, Gillian Kant, Christoph Weisser, Benjamin Säfken, Krisztina Kis-Katos, Thomas Kneib
Twitmo: A Twitter Data Topic Modeling and Visualization Package for R. CoRR (2022)
Arne Tillmann, Lindrit Kqiku, Delphine Reinhardt, Christoph Weisser, Benjamin Säfken, Thomas Kneib
Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
René-Marcel Kruse, Alexander Silbersdorff, Benjamin Säfken
Model averaging for linear mixed models via augmented Lagrangian. Comput. Stat. Data Anal. 167 (2022)
Mattias Luber, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib, Krisztina Kis-Katos
Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data. MISDOOM (2021)
Mattias Luber, Anton Thielmann, Christoph Weisser, Benjamin Säfken
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models. CoRR (2021)
Arne Tillmann, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib
AuDoLab: Automatic document labelling and classification for extremely unbalanced data. J. Open Source Softw. 6 (66) (2021)
Benjamin Säfken, David Rügamer, Thomas Kneib, Sonja Greven
Conditional Model Selection in Mixed-Effects Models with cAIC4. J. Stat. Softw. 99 (8) (2021)
Gillian Kant, Christoph Weisser, Benjamin Säfken
TTLocVis: A Twitter Topic Location Visualization Package. J. Open Source Softw. 5 (54) (2020)