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Publications

Displaying results 141 to 150 of 682.

  1. Damun Mollahassani; Martin Becker; Andreas Emrich; Peter Fettke; Jens C. Göbel

    Generating additional Engineering Knowledge in Smart Product Value Creation Networks

    In: Dimitris Mourtzis (Hrsg.). Procedia CIRP, Vol. 136 - 35th CIRP Design 2025, Pages 630-635, Elsevier, 2025.

  2. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    Speeding Up Bioacoustic Data Analysis: Fine-Tuning Deep Models with Active Learning for Efficient Wildlife Detection

    In: GoodIT '25: Proceedings of the 2025 International Conference on Information Technology for Social Good. ACM International Conference on Information Technology for Social Good (GoodIT-2025), located at GoodIT-2025, September 3-5, Antwerpen, Belgium, Association for Computing Machinery, 9/2025.

  3. Francisco Mena; Diego Arenas; Andreas Dengel

    In the search for optimal multi-view learning models for crop classification with global remote sensing data

    In: International Journal of Applied Earth Observation and Geoinformation (JAG), Vol. 143, Pages 0-15, Elsevier, Empowering Smart and Sustainable Agriculture with , 9/2025.

  4. Alexander Michael Rombach; Peter Fettke

    Deep Learning Based Key Information Extraction from Business Documents: Systematic Literature Review

    In: ACM Computing Surveys (CSUR), Vol. 58, No. 2, Pages 1-37, Association for Computing Machinery, New York, NY, USA, 2025.

  5. Quentin Delfosse; Jannis Blüml; Fabian Tatai; Théo Vincent; Bjarne Gregori; Elisabeth Dillies; Jan Peters; Constantin A. Rothkopf; Kristian Kersting

    Deep Reinforcement Learning Agents are not even close to Human Intelligence

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.21731, Pages 1-49, Computing Research Repository, 2025.

  6. Nick Kocher; Christian Wassermann; Leona Hennig; Jonas Seng; Holger H. Hoos; Kristian Kersting; Marius Lindauer; Matthias S. Müller

    Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.15631, Pages 1-10, Computing Research Repository, 2025.

  7. Zihan Ye; Oleg Arenz; Kristian Kersting

    Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.11661, Pages 1-23, Computing Research Repository, 2025.

  8. Jannis Blüml; Cedric Derstroff; Bjarne Gregori; Elisabeth Dillies; Quentin Delfosse; Kristian Kersting

    Deep Reinforcement Learning via Object-Centric Attention

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.03024, Pages 1-39, Computing Research Repository, 2025.

  9. 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.

  10. 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.

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