TAME: Element-wise Mixture-of-Experts Fusion for Reliable and Interpretable Molecular Property Prediction
R.P. Schiller, C. Weisser, K.-R. Müller, C. Ochsenfeld, P. Semnani, TAME: Element-Wise Mixture-of-Experts Fusion for Reliable and Interpretable Molecular Property Prediction, 2026.

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning
M. Kumar, A.F. Thielmann, C. Weisser, B. Säfken, Preprint (2026).

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning
M. Kumar, A.F. Thielmann, C. Weisser, B. Säfken, Transactions on Machine Learning Research (2026).

LabelFusion-TS: Fusing Large Language Models, Transformer Encoders, and Financial Time Series for Monetary-Policy Stance Classification
M. Schlee, F. Lukassen, C. Weisser, ArXiv:2608.11753 (2026).

CAFE: A Compound-AI Factorial Evaluation Framework
F. Lukassen, C. Weisser, T. Kneib, A. Silbersdorff, Preprint (2026).

Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung
U. Berger, R. Biehler, K. Binder, C. Elmer, F. Ertz, T. Hotz, S. Huber, K. Ickstadt, G. Kauermann, H. Küchenhoff, K. Lübke, R. Münnich, K. Schüller, T. Skill, C. Weihs, H. Weinert, C. Weisser, AStA Wirtschafts- und Sozialstatistisches Archiv (2026).

Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting
A.P. Amorin, A. Python, C. Weisser, LREC 2026 - The Fifteenth Biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop (2026).

LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification
M. Schlee, T. Kivimaki,  Melchizedek Mashiku, C. Weisser, B. Säfken, LREC 2026 - The Fifteenth Biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop (2026).

From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality
F. Lukassen, J. Herrmann, C. Weisser, B. Säfken, T. Kneib, Preprint (2026).

LLM-Augmented Change Point Detection: A Methodological Framework for Ensemble Detection and Automated Explanation
F. Lukassen, C. Weisser, M. Schlee, M. Kumar, A. Thielmann, B. Säfken, T. Kneib, A. Silbersdorff, Preprint (2026).

Fine-Tuning of Lightweight Large Language Models for Sentiment Classification on Heterogeneous Financial Textual Data
A.P. Amorin, A. Python, C. Weisser, Preprint (2025).

From Prediction to Proposal in Catalysis: Robust Evaluation, LRP Explanations, and Relevance-Guided Candidate Generation
P. Semnani, M. Bogojeski, F. Bley, Z. Zhang, Q. Wu, T. Kneib, J. Herrmann, C. Weisser, K.R. Müller, in: Openreview, 2025.

Probabilistic Topic Modelling With Transformer Representations
A. Reuter, A. Thielmann, C. Weisser, B. Säfken, T. Kneib, IEEE Transactions on Neural Networks and Learning Systems 36 (2025) 14551–14565.

The Word and the Bullet: Out-Grouping and Threat Framing as Predictors of Islamic State Targeting, 2015-2020
G. Kant, T. Alkaher, T. Kivimaki, C. Weisser, Terrorism and Political Violence (2025).

Human in the Loop: How to Effectively Create Coherent Topics by Manually Labelling Only a Few Documents per Class
A. Thielmann, C. Weisser, B. Säfken, in: N. Calzolari,  Min-Yen Kan, V. Hoste, A. Lenci, S. Sakti, N. Xue  (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Elra And Iccl, 2024, pp. 8395–8405.

Mambular: A Sequential Model for Tabular Deep Learning
A.F. Thielmann, M. Kumar, C. Weisser, A. Reuter, B. Säfken, S. Samiee, Preprint (2024).

GPTopic: Dynamic and Interactive Topic Representations
A. Reuter, A. Thielmann, C. Weisser, S. Fischer, B. Säfken, B. Khadka, Preprint (2024).

Solar Technology as a Shock-Coping Device: Evidence From Rural Tanzania
H. Stemmler, F. Lenel, K. Kis-Katos, C. Weisser, Preprint (2024).

One-Way Ticket to the Moon? An NLP-Based Insight on the Phenomenon of Small-Scale Neo-Broker Trading
G. Kant, I. Zhelyazkov, A. Thielmann, C. Weisser, M. Schlee, C. Ehrling, B. Säfken, T. Kneib, Social Network Analysis and Mining 14 (2024).

STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module
A.F. Thielmann, A. Reuter, C. Weisser, B. Säfken, G. Kant, M. Kumar, in: L.-W. Ku, A. Martins, V. Srikumar (Eds.), Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2: Short Papers, Association For Computational Linguistics, Bangkok, thailand, 2024, pp. 435–444.