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Publikationen

Zeige Ergebnisse 2921 bis 2930 von 14796.

  1. Soniya Vijayakumar

    Interpretability in Activation Space Analysis of Transformers: A Focused Survey

    In: AIMLAI' 22 Workshop. ACM International Conference on Information and Knowledge Management (CIKM-2022), October 17-21, Atlanta, Georgia, USA, CEUR Workshop Proceeding, Vol. 3318, CEUR, 2022.

  2. Amos Smith; Jeremy Coffelt; Kai Lingemann

    A Deep Learning Framework for Semantic Segmentation of Underwater Environments

    In: OCEANS 22 Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Hampton Roads, VA, USA, IEEE, 10/2022.

  3. Boris Belousov; Bastian Wibranek; Jan Schneider; Tim Schneider; Georgia Chalvatzaki; Jan Peters; Oliver Tessmann

    Robotic architectural assembly with tactile skills: Simulation and optimization

    In: Automation in Construction, Vol. 133, Pages 1-10, Elsevier, 1/2022.

  4. Boris Belousov

    On Optimal Behavior Under Uncertainty in Humans and Robots

    PhD-Thesis, Technische Universität Darmstadt, 2022.

  5. Fabio Muratore; Theo Gruner; Florian Wiese; Boris Belousov; Michael Gienger; Jan Peters

    Neural posterior domain randomization

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1532-1542, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  6. Niklas Funk; Georgia Chalvatzaki; Boris Belousov; Jan Peters

    Learn2assemble with structured representations and search for robotic architectural construction

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1401-1411, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  7. Alan Le Goallec; Samuel Diai; Sasha Collin; Jean-Baptiste Prost; Théo Vincent; Chirag J Patel

    Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images

    In: Nature Communications, Vol. 13, No. 1, Pages 1979-1979, Nature Publishing Group UK London, 2022.

  8. Szilvia Szeier; Benjámin Baffy; Gábor Baranyi; Joul Skaf; László Kopácsi; Daniel Sonntag; Gábor Sörös; András Lőrincz

    3D Semantic Label Transfer and Matching in Human-Robot Collaboration

    Learning to Generate 3D Shapes and Scenes, ECCV 2022 Workshop, 10/2022.

  9. Daniel Fernau; Stefan Hillmann; Nils Feldhus; Tim Polzehl

    Towards Automated Dialog Personalization using MBTI Personality Indicators

    In: INTERSPEECH. Conference in the Annual Series of Interspeech Events (INTERSPEECH-2022), ISCA, 2022.

  10. Murali Karthick Baskar; Tim Herzig; Diana Nguyen; Mireia Díez; Tim Polzehl; Lukávs Burget; Jan Honza vCernocký

    Speaker adaptation for Wav2vec2 based dysarthric ASR

    In: INTERSPEECH. Conference in the Annual Series of Interspeech Events (INTERSPEECH-2022), ISCA, 2022.

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