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Publications

Displaying results 301 to 310 of 682.

  1. . (Hrsg.)

    DeiSAM: Segment Anything with Deictic Prompting

    AAAI Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models, located at AAAI, 2024.

  2. Johannes Rust; Christian Mandel; Kathrin Stich; Serge Autexier

    Predicting Hemodynamic and Pulmonary Decompensation with Deep Neural Networks: Performance and Explainability

    In: 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2024), Orlando, USA, 2024.

  3. Sk Aziz Ali; Mohammad Sadil Khan; Didier Stricker

    BRep Boundary and Junction Detection for CAD Reverse Engineering

    In: Proceedings of the 3rd IEEE International Conference on Computing and Machine Intelligence. IEEE International Conference on Computing and Machine Intelligence (ICMI-2024), April 13-14, Michigan, MI, USA, IEEE, 2024.

  4. Lotfy Abdel Khaliq; Sabine Janzen; Wolfgang Maaß

    REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms

    In: International Joint Conference on Artificial Intelligence 2024. International Joint Conference on Artificial Intelligence (IJCAI-2024), 33rd International Joint Conference on Artificial Intelligence, August 3-9, Jeju, Korea, Republic of, International Joint Conference on Artificial Intelligence, 8/2024.

  5. Jason Raphael Rambach; Bruno Mirbach; Yuriy Anisimov; Didier Stricker

    Time-of-Flight Depth Sensing for Automotive Safety and Smart Building Applications: The VIZTA Project

    In: IEEE Access (IEEE), Vol. 11, Pages 105819-105829, IEEE, 10/2023.

  6. David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

    Learning to Intervene on Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13453, Pages 0-10, arXiv, 2023.

  7. Quentin Delfosse; Jannis Blüml; Bjarne Gregori; Sebastian Sztwiertnia; Kristian Kersting

    OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.08649, Pages 0-10, arXiv, 2023.

  8. Lukas Helff; Wolfgang Stammer; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    V-LoL: A Diagnostic Dataset for Visual Logical Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.07743, Pages 0-10, arXiv, 2023.

  9. Steven Braun; Martin Mundt; Kristian Kersting

    Deep Classifier Mimicry without Data Access

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.02090, Pages 0-10, arXiv, 2023.

  10. Sahil Sidheekh; Kristian Kersting; Sriraam Natarajan

    Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference

    In: Robin J. Evans; Ilya Shpitser (Hrsg.). Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI), July 31 - August 4, Pittsburgh, PA, USA, Pages 1964-1973, Proceedings of Machine Learning Research, Vol. 216, PMLR, 2023.

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