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2020 – today
- 2024
[j4]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): 121 (2024)- [j3]Anton Frederik Thielmann, Arik Reuter, Thomas Kneib, David Rügamer, Benjamin Säfken:
Interpretable Additive Tabular Transformer Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c4]Anton Thielmann, Arik Reuter, Christoph Weisser, Gillian Kant, Manish Kumar, Benjamin Säfken:
STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module. ACL (Short Papers) 2024: 435-444 - [c3]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: 1783-1791 - [c2]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: 8395-8405 - [i9]Arik Reuter, Anton Thielmann, Christoph Weisser, Sebastian Fischer, Benjamin Säfken:
GPTopic: Dynamic and Interactive Topic Representations. CoRR abs/2403.03628 (2024) - [i8]Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib:
Probabilistic Topic Modelling with Transformer Representations. CoRR abs/2403.03737 (2024) - [i7]Arik Reuter, Anton Thielmann, Benjamin Säfken:
Neural Additive Image Model: Interpretation through Interpolation. CoRR abs/2405.02295 (2024) - [i6]Anton Frederik Thielmann, Manish Kumar, Christoph Weisser, Arik Reuter, Benjamin Säfken, Soheila Samiee:
Mambular: A Sequential Model for Tabular Deep Learning. CoRR abs/2408.06291 (2024) - 2023
- [j2]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): 647-674 (2023) - [c1]Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken:
Coherence based Document Clustering. ICSC 2023: 9-16 - [i5]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 abs/2301.11862 (2023) - [i4]Mattias Luber, Anton Thielmann, Benjamin Säfken:
Structural Neural Additive Models: Enhanced Interpretable Machine Learning. CoRR abs/2302.09275 (2023) - [i3]Anton Thielmann, Quentin Seifert, Arik Reuter, Elisabeth Bergherr, Benjamin Säfken:
Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence. CoRR abs/2303.17324 (2023) - 2022
- [i2]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 abs/2212.09422 (2022) - 2021
- [j1]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): 3719 (2021) - [i1]Mattias Luber, Anton Thielmann, Christoph Weisser, Benjamin Säfken:
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models. CoRR abs/2111.10401 (2021)
Coauthor Index
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