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Publications

Displaying results 1581 to 1590 of 14394.

  1. Lukas Sommer; Julian Oppermann; Alejandro Molina; Carsten Binnig; Kristian Kersting; Andreas Koch

    Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators

    In: 36th IEEE International Conference on Computer Design. IEEE International Conference on Computer Design (ICCD-2018), October 7-10, Orlando, FL, USA, Pages 350-357, IEEE Computer Society, 2018.

  2. Antonio Vergari; Robert Peharz; Nicola Di Mauro; Alejandro Molina; Kristian Kersting; Floriana Esposito

    Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks

    In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 4163-4170, AAAI Press, 2018.

  3. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains

    In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 3828-3835, AAAI Press, 2018.

  4. Alejandro Molina; Alexander Munteanu; Kristian Kersting

    Core Dependency Networks

    In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 3820-3827, AAAI Press, 2018.

  5. Michael Benedikt; Kristian Kersting; Phokion G. Kolaitis; Daniel Neider

    Logic and Learning (Dagstuhl Seminar 19361)

    In: Dagstuhl Reports, Vol. 9, No. 9, Pages 1-22, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2019.

  6. Tobias Dreesbach; Jan Beinke; Arne Dethloff; Fabian van Dülmen; Oliver Thomas

    Impact and Limitations of AR-Based Guidance for Assembly Workers

    In: Jeffrey Voas (Hrsg.). IEEE Computer, IEEE Computer Society, 2023.

  7. Khaleel Asyraaf Mat Sanusi; Bibeg Limbu; Jan Schneider; Milos Kravcik; Roland Klemke (Hrsg.)

    Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023)

    International Workshop on Multimodal Immersive Learning Systems (MILeS-2023), located at Eighteenth European Conference on Technology Enhanced Learning (EC-TEL 2023), September 4-8, Aveiro, Portugal, CEUR, Vol. 3499, CEUR Workshop Proceedings, Aachen, 10/2023.

  8. Hitesh Kotte; Milos Kravcik; Nghia Duong-Trung

    Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification and Feedback

    In: Khaleel Asyraaf Mat Sanusi; Bibeg Limbu; Jan Schneider; Milos Kravcik; Roland Klemke (Hrsg.). Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023). International Workshop on Multimodal Immersive Learning Systems (MILeS-2023), located at Eighteenth European Conference on Technology Enhanced Learning (EC-TEL 2023), September 4-8, Aveiro, Portugal, Pages 64-70, Vol. 3499, CEUR Workshop Proceedings, Aachen, 10/2023.

  9. Christoph Fischer; Jörg Schneider; Dennis Krummacker; Dennis Salzmann; Taras Holoyad; Hans Dieter Schotten; RPTU University of Kaiserslautern-Landau

    A Regulators Perspective on Digital Twinning for Mobile Communications

    In: ITG-Fb. 311: Mobilkommunikation; Technologien und Anwendungen. VDE/ITG Fachtagung Mobilkommunikation (MKT-2023), 27. Fachtagung Mobilkommunikation, located at VDE, May 10-11, Osnabrück, Germany, ISBN 978-3-8007-6094-7, VDE, 2023.

  10. Raghav Soni; Daniel Harnack; Hannah Isermann; Sotaro Fushimi; Shivesh Kumar; Frank Kirchner

    End-to-End Reinforcement Learning for Torque Based Variable Height Hopping

    In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2023), October 1-5, Detroit, MI, USA, Pages 7531-7538, ISBN 978-1-6654-9190-7, IEEE Robotics and Automation Society, 10/2023.

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