Publications

Hortencia Flores Estrella, Josefine Umlauft, Andreas Schmidt, und Michael Korn. Locating mofettes using seismic noise records from small dense arrays and matched field processing analysis in the NW Bohemia/Vogtland Region, Czech Republic. Near Surface Geophysics, (14)4:327–335, European Association of Geoscientists & Engineers, März 2016. [PUMA: yaff] URL

Shahbaz Syed, Khalid Al-Khatib, und Martin Potthast. TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization. arXiv, 2024. [PUMA: (cs.CL) Computation_Computer FOS Language_and_information_sciences sciences yaff] URL

Ferdinand Maiwald, Christoph Lehmann, und Taras Lazariv. Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods. ISPRS International Journal of Geo-Information, (10)11:748, MDPI AG, November 2021. [PUMA: xack] URL

David Antony Selby, Rashika Jakhmola, Maximilian Sprang, Gerrit Grossmann, Hind Raki, Niloofar Maani, Daria Pavliuk, Jan Ewald, und Sebastian J Vollmer. Visible neural networks for multi-omics integration: a critical review. bioRxiv, Dezember 2024. [PUMA: yaff] URL

João Paulo C. de Lima, Mehran Shoushtari Moghadam, Sercan Aygun, Jeronimo Castrillon, M. Hassan Najafi, und Asif Ali Khan. All-in-Memory Stochastic Computing using ReRAM. 2025. [PUMA: ReRAM computing stochastic xack yaff] URL

Ferdinand Schlatt, Tim Hagen, Martin Potthast, und Matthias Hagen. TITE: Token-Independent Text Encoder for Information Retrieval. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2493–2503, ACM, Juli 2025. [PUMA: encoder information retrieval text yaff] URL

Joel Jonsson, Bevan Leslie Cheeseman, und Ivo Sbalzarini. APR-CNN: Convolutional Neural Networks for the Adaptive Particle Representation of Large Microscopy Images. Transactions on Machine Learning Research, 2025. [PUMA: convolutional images microscopy networks neural yaff] URL

Guilherme Korol, Antonio Carlos Schneider Beck, und Jeronimo Castrillon. Leveraging Stochastic Depth Training for Adaptive Inference. 2025. [PUMA: xackstochastic_depth_training yaff] URL

Tom Hochsprung, Jakob Runge, und Andreas Gerhardus. Using Time Structure to Estimate Causal Effects. 2025. [PUMA: causal_effects time_structure yaff] URL

Urmi Ninad, Jonas Wahl, Andreas Gerhardus, und Jakob Runge. Causal discovery on vector-valued variables and consistency-guided aggregation. 2025. [PUMA: vector-valued_variables yaff] URL

E. Cherif, T. Kattenborn, L. A. Brown, M. Ewald, K. Berger, P. D. Dao, T. B. Hank, E. Laliberté, B. Lu, und H. Feilhauer. Uncertainty Assessment in Deep Learning-based Plant Trait Retrievals from Hyperspectral data. EGUsphere, (2025):1--35, 2025. [PUMA: data deep_learning hyperspectral xack yaff] URL

Anton Gasse, Alexander Lingler, Martin Lorenz, Antti Oulasvirta, Philipp Wintersberger, und Patrick Ebel. Evaluating Attention Management Systems for Dynamic Monitoring Tasks. Adjunct Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work, 1–6, ACM, Juni 2025. [PUMA: attention_management_systems dynamic_monitoring_tasks xack yaff] URL

Patrick Schoefer, James Danckert, Peter Stadler, und Martin Bogdan. The Regulatory Character of Boredom in AI - Towards a Self-Regulating System based on Spiking Neural Networks. ESANN 2025 proceesdings, 317–322, Ciaco - i6doc.com, 2025. [PUMA: AI boredom self-regulating spiking_neural_networks yaff] URL

Xiaobo Lin, Zhaoqian Su, Yunchao Lance Liu, Jingxian Liu, Xiaohan Kuang, Peter T. Cummings, Jesse Spencer-Smith, und Jens Meiler. SuperMetal: a generative AI framework for rapid and precise metal ion location prediction in proteins. Journal of Cheminformatics, (17)1:107, 15.07.2025. [PUMA: ai framework generative metal_ion_prediction proteins xack yaff] URL

Marie Steinacker, Yuri Kheifetz, und Markus Scholz. Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics. 2025. [PUMA: personalized platelet_dynamics prediction_models xack yaff] URL

Ali Al-Fatlawi, Md. Ballal Hossen, Stella de Paula Lopes, A. Francis Stewart, und Michael Schroeder. A structural phylogenetic tree of Rad52 and its annealase superfamily. Computational and Structural Biotechnology Journal, (27):360–368, Elsevier BV, 2025. [PUMA: xack yaff] URL

Guillermo Pérez-Hernández, und Peter W. Hildebrand. mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data. PLOS Computational Biology, (21)4:1-17, Public Library of Science, April 2025. [PUMA: molecular_dynamics visualization yaff] URL

Niclas Rosteck, Julian Striegl, und Claudia Loitsch. Bridging the Treatment Gap: A Novel LLM-Driven System for Scalable Initial Patient Assessments in Mental Healthcare. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 1–8, ACM, April 2025. [PUMA: LLM mental_healthcare patient_assessments xack yaff] URL

Yuhao Liu, Salim Ullah, und Akash Kumar. BiKA: Binarized KAN-inspired Neural Network for Efficient Hardware Accelerator Designs. 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 276-276, Mai 2025. [PUMA: BiKA hardware neural_network yaff]

Kossi Amouzouvi, Yashrajsinh Chudasama, Disha Purohit, Ariam Rivas, Bowen Song, Jens Lehmann, Sahar Vahdati, und Maria-Esther Vidal. SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations. IEEE Access, (13):74705-74723, 2025. [PUMA: SimE algebraic geometric knowledge_graph model transformations xack yaff]