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Publications

Displaying results 191 to 200 of 661.

  1. Jonas Seng; Florian Peter Busch; Pooja Prasad; Devendra Singh Dhami; Martin Mundt; Kristian Kersting

    Scaling Probabilistic Circuits via Data Partitioning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.08141, Pages 1-15, Computing Research Repository, 2025.

  2. Jonas Seng; Florian Peter Busch; Pooja Prasad; Devendra Singh Dhami; Martin Mundt; Kristian Kersting

    Scaling Probabilistic Circuits via Data Partitioning

    In: Silvia Chiappa; Sara Magliacane (Hrsg.). Conference on Uncertainty in Artificial Intelligence, Rio Othon Palace, Rio de Janeiro, Brazil, 21-25 July 2025. International Conference on Uncertainty in AI (UAI), Pages 3701-3717, Proceedings of Machine Learning Research, Vol. 286, PMLR, 2025.

  3. Felix Divo; Eric Endress; Kevin Endler; Kristian Kersting; Devendra Singh Dhami

    Forecasting Company Fundamentals

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-26, Journal of Machine Learning Research, 2025.

  4. Florian Peter Busch; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

    Elucidating linear programs by neural encodings

    In: Georgios Leontidis (Hrsg.). Frontiers in Artificial Intelligence, Vol. 8, Pages 1-14, Frontiers Media SA, 6/2025.

  5. Nika Strem; Devendra Singh Dhami; Benedikt Schmidt; Kristian Kersting

    Multimodal transformer for early alarm prediction

    In: Engineering Applications of Artificial Intelligence, Vol. 139, Part B, Pages 1-11, Elsevier, 1/2025.

  6. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A unified perspective on value backup and exploration in monte-carlo tree search

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 81, Pages 511-577, 2024.

  7. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  8. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Vikas Rajashekar; Markus Junker; Andreas Dengel; Axel Haferkamp; Thomas Hoefner

    Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

    In: European Journal of Cancer (EJC), Vol. 220, No. 115367, Pages 1-8, Elsevier Ltd. 3/2025.

  9. Vinit Vikas Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski

    Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques

    In: 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024), May 14-15, Muscat, Oman, Pages 1-6, ISBN 979-8-3503-4863-7, IEEE, 2024.

  10. Jonas Weigand; Gerben I. Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski

    State Derivative Normalization for Continuous-Time Deep Neural Networks

    In: IFAC-PapersOnLine, Vol. 58, No. 15, Pages 253-258, ELSEVIER, 2024.

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