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Publications

Displaying results 1431 to 1440 of 14995.
  1. Sara-Jane Bittner; Michael Barz; Daniel Sonntag

    Eliciting Multimodal Approaches for Machine Learning--Assisted Photobook Creation

    In: Carmelo Ardito; Simone Diniz Junqueira Barbosa; Tayana Conte; André Freire; Isabela Gasparini; Philippe Palanque; Raquel Prates (Hrsg.). Human-Computer Interaction -- INTERACT 2025. IFIP Conference on Human-Computer Interaction (INTERACT-2025), 20th IFIP TC 13 International Conference, Belo Horizonte, Brazil, September 8–12, 2025, Proceedings, Part II, September 8-12, Belo Horizonte, Brazil, Pages 576-601, ISBN 978-3-032-05002-1, Springer Nature Switzerland, 9/2025.

  2. 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.

  3. Harsh Poonia; Moritz Willig; Zhongjie Yu; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

    (chi)SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains

    In: Negar Kiyavash; Joris M. Mooij (Hrsg.). Uncertainty in Artificial Intelligence, 15-19 July 2024, Universitat Pompeu Fabra, Barcelona, Spain. Conference in Uncertainty in Artificial Intelligence (UAI), Pages 3004-3020, Proceedings of Machine Learning Research, Vol. 244, PMLR, 2024.

  4. Moritz Willig; Matej Zecevic; Kristian Kersting

    "Do Not Disturb My Circles!" Identifying the Type of Counterfactual at Hand (Short Paper)

    In: Philipp Cimiano; Anette Frank; Michael Kohlhase; Benno Stein (Hrsg.). Robust Argumentation Machines - First International Conference, RATIO 2024, Bielefeld, Germany, June 5-7, 2024, Proceedings. International Conference on Recent Advances in Robust Argumentation Machines (RATIO), Pages 266-275, Lecture Notes in Computer Science, Vol. 14638, Springer, 2024.

  5. Florian Peter Busch; Moritz Willig; Jonas Seng; Kristian Kersting; Devendra Singh Dhami

    (Psi)net: Efficient Causal Modeling at Scale

    In: Johan Kwisthout; Silja Renooij (Hrsg.). International Conference on Probabilistic Graphical Models, De Lindenberg, Nijmegen, the Netherlands, 11-13 September 2024. International Conference on Probabilistic Graphical Models (PGM), Pages 452-469, Proceedings of Machine Learning Research, Vol. 246, PMLR, 2024.

  6. Wolfgang Stammer; Antonia Wüst; David Steinmann; Kristian Kersting

    Neural Concept Binder

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. Neural Information Processing Systems (NeurIPS), arXiv, 2024.

  7. Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting

    Graph Neural Networks Need Cluster-Normalize-Activate Modules

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. Neural Information Processing Systems (NeurIPS), arXiv, 2024.

  8. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting; Adam Dziedzic; Franziska Boenisch

    Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. Neural Information Processing Systems (NeurIPS), arXiv, 2024.

  9. Quentin Delfosse; Sebastian Sztwiertnia; Mark Rothermel; Wolfgang Stammer; Kristian Kersting

    Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. International Conference on Neural Information Processing (ICONIP), arXiv, 2024.