Skip to main content Skip to main navigation

Publications

Displaying results 41 to 50 of 599.
  1. Muhammad Nabeel Asim; Muhammad Imran Malik; Christoph Zehe; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC)

    In: IEEE Access, Vol. 9, Pages 19379-19390, IEEE, 2020.

  2. Payam Habiby; Sebastian Huhn; Rolf Drechsler

    Power-aware Test Scheduling for IEEE 1687 Networks with Multiple Power Domains

    In: 33rd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems 2020. IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT-2020), ISBN 978-1-7281-9457-8, IEEE, 2020.

  3. Towards Autonomous Intralogistics: A Testbed Environment for the Coordination of a Robotic Fleet

    In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS)---Workshop on Planning and Robotics (PlanRob). International Conference on Automated Planning and Scheduling (ICAPS-2020), October 20, Online, ICAPS, 10/2020.

  4. Jannik Kossen; Karl Stelzner; Marcel Hussing; Claas Voelcker; Kristian Kersting

    Structured Object-Aware Physics Prediction for Video Modeling and Planning

    In: 8th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2020), April 26-30, Addis Ababa, Ethiopia, OpenReview.net, 2020.

  5. Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks

    In: 8th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2020), April 26-30, Addis Ababa, Ethiopia, OpenReview.net, 2020.

  6. Ute Schmid; Volker Tresp; Matthias Bethge; Kristian Kersting; Rainer Stiefelhagen

    Künstliche Intelligenz - Die dritte Welle

    In: Ralf H. Reussner; Anne Koziolek; Robert Heinrich (Hrsg.). 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future. Jahrestagung der Gesellschaft für Informatik (INFORMATIK-2020), September 28 - October 2, Karlsruhe, Germany, Pages 91-95, LNI, Vol. P-307, GI, 2020.

  7. Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

    CryptoSPN: Privacy-Preserving Sum-Product Network Inference

    In: Giuseppe De Giacomo; Alejandro Catalá; Bistra Dilkina; Michela Milano; Senén Barro; Alberto Bugarín; Jérôme Lang (Hrsg.). 24th European Conference on Artificial Intelligence. European Conference on Artificial Intelligence (ECAI-2020), August 29 - September 8, Santiago de Compostela, Spain, Pages 1946-1953, Frontiers in Artificial Intelligence and Applications, Vol. 325, IOS Press, 2020.

  8. Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

    CryptoSPN: Expanding PPML beyond Neural Networks

    In: Benyu Zhang; Raluca Ada Popa; Matei Zaharia; Guofei Gu; Shouling Ji (Hrsg.). PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice. Workshop on Privacy-Preserving Machine Learning in Practice (PPMLP-20), located at CS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, November 9, Virtual Event, Pages 9-14, ISBN 978-1-4503-8088-1, ACM, 2020.

  9. Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

    Making deep neural networks right for the right scientific reasons by interacting with their explanations

    In: Nature Machine Intelligence, Vol. 2, No. 8, Pages 476-486, Springer, 2020.