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Publikationen

Zeige Ergebnisse 291 bis 300 von 13714.

  1. Mario Gleirscher; Rehab Massoud; Dieter Hutter; Christoph Lüth

    How Deduction Systems Can Help You To Verify Stability Properties

    In: Conference on Decision and Control. IEEE Conference on Decision and Control (CDC-2024), December 16-19, Milano, Italy, Vol. abs/2404.10747, IEEE, 2024.

  2. Katharina Justmann; Ludwig Leurs; Martin Ruskowski

    Mapping of OPC UA FX to the Asset Administration Shell and Capability, Skill and Service Model

    In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2024), Pages 1-4, IEEE, 2024.

  3. Tatjana Legler; Vinit Hegiste; Ahmed Anwar; Martin Ruskowski

    Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment

    2024.

  4. 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.

  5. Tobias Stollenwerk; Somtapa Bhattacharya; Michele Cattelan; Alessandro Ciani; Gabriele Compostella; David Headley; Johannes Klepsch; Matthias Klusch; Markus Leder; Antonio Macaluso; Kristel Michielsen; Dmytro Nabok; Anestis Papanikolaou; Alexander Rausch; Marco Schumann; Andrea Skolik; Sheir Yarkoni; Frank K. Wilhelm

    Q(AI)2: Quantum Artificial Intelligence for the Automotive Industry

    In: Matthias Klusch; Jörg Lässig; Frank Wilhelm (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 4/24, Pages 1-9, Springer, 2024.

  6. Philippe Weier; Alexander Rath; Élie Michel; Iliyan Georgiev; Philipp Slusallek; Tamy Boubekeur

    N-BVH: Neural ray queries with bounding volume hierarchies

    In: Andres Burbano; Denis Zorin; Wojciech Jarosz (Hrsg.). Proceedings - SIGGRAPH 2024 Conference Papers. ACM Siggraph (Siggraph-24), July 27 - August 1, Denver, CO, USA, Pages 1-11, Vol. 25, ISBN 979-8-4007-0525-0, Association for Computing Machinery, New York, NY, USA, 7/2024.

  7. 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.

  8. 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.

  9. Lawrence Benson; Carsten Binnig; Jan-Micha Bodensohn; Federico Lorenzi; Jigao Luo; Danica Porobic; Tilmann Rabl; Anupam Sanghi; Russell Sears; Pinar Tözün; Tobias Ziegler

    Surprise Benchmarking: The Why, What, and How

    In: Proceedings of the Tenth International Workshop on Testing Database Systems, DBTest 2024, Santiago, Chile, 9 June 2024. International Workshop on Testing Database Systems (DBTest), Pages 1-8, ACM, 2024.

  10. Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Anupam Sanghi; Carsten Binnig

    Automating Enterprise Data Engineering with LLMs

    In: NeurIPS 2024 Third Table Representation Learning Workshop. Table Representation Learning Workshop (TRL), located at NeurIPS 2024, December 14, NeurIPS, 2024.

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