Publications

Publications

Here is the list of publications authored by the consortium.

2023
  • Aras Nacho, Holger Boche and Gitta Kutyniok. “Reliable AI: Does the Next Generation Require Quantum Computing?” arXiv preprint – link.
  • Theophil Spiegeler Castaneda, Joana Matos, Patricia Capsi Morales, Cristina Piazza. “Spatial and Temporal Analysis of Normal and Shear Forces During Grasping, Manipulation and Social Activities” 2023 IEEE-RAS-EMBS International Conference on Rehabilitation Robotics (ICORR). (accepted)
  • Neha Das, Jonas Umlauft, Armin Lederer, Alexandre Capone, Thomas Beckers, Sandra Hirche. “Deep Learning based Uncertainty Decomposition for Real-time Control.” IFAC World Congress 2023 (2023). (accepted)
  • Florentyna Debinski, Simon Renner, Emma Müller-Seydlitz, Yuyang Huang, Timm Schubert, Laura Busse, and Thomas Euler. “Response properties of suppressed-by-contrast cells in the early mouse visual system” Meeting of the German Neuroscience Society, Göttingen, 2023 (2023). (accepted)
  • Mohamad Issa, Theophil Spiegeler Castaneda, Patricia Capsi Morales, Cristina Piazza. “Motor-Cognitive Effects of Virtual Reality Myoelectric Control Training” 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). (accepted)
  • Timo Kaufmann, Viktor Bengs, and Eyke Hüllermeier. “Reinforcement Learning from Human Feedback for Cyber-Physical Systems: On the Potential of Self-Supervised Pretraining” ML4CPS 2023 (2023). (accepted)
  • Armin Lederer, Azra Begzadi, Neha Das, and Sandra Hirche. “Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions.” IFAC World Congress 2023 (2023). (accepted)
  • Robert Lefringhausen, Supitsana Srithasan, Armin Lederer, and Sandra Hirche. “Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States.” arXiv preprint arXiv:2303.17963 (2023) – link.
  • Anna Penzkofer, Simon Schaefer, Florian Strohm, Mihai Bâce, Stefan Leutenegger, and Andreas Bulling. “Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning.” Adaptive and Learning Agents Workshop (ALA 2023) – link
  • Cong Li, Qingchen Liu, Jiahu Qin, Martin Buss, and Sandra Hirche. “Safe Planning and Control under Uncertainty: A Model-Free Design with One-Step Backward Data.” IEEE Transactions on Industrial Electronics (2023) – link.
  • Aman B. Saleem and Laura Busse. “Interactions between rodent visual and spatial systems during navigation” Nature Reviews Neuroscience (2023) – link
  • Simon Schaefer, Dorian Henning, and Stefan Leutenegger. “GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild.” IEEE/RSJ International Conference on Robotics and Systems – IROS 2023 (2023). (accepted)
  • Philipp Scholl, Aras Bacho, Holger Boche und Gitta Kutyniok. “The Uniqueness Problem of Physical Law Learning”. The International Conference on Acoustics, Speech, & Signal Processing (ICASSP)2023 (2023) – link.
  • Svenja Y. Schött, Rifat Mehreen Amin, and Andreas Butz. “A Literature Survey of How to Convey Transparency in Co-Located Human–Robot Interaction.” Multimodal Technologies and Interaction 7.3 (2023): 25. – link
  • Svenja Y. Schött. “Thermal Feedback for Transparency in Human-Robot Interaction.”  arXiv preprint arXiv:2303.09304 (2023) – link
  • Svenja Y. Schött, Patricia Capsi-Morales, Steeven Villa, Andreas Butz, and Cristina Piazza. “Would You Hold My Hand? Exploring External Observers’ Perception of Artificial Hands” Multimodal Technologies and Interaction – link.
  • King Chun Tse, Patricia Capsi Morales, Theophil Spiegeler Castaneda, Cristina Piazza. “Exploring Muscle Synergies for Performance Enhancement and Learning in Myoelectric Control Maps” 2023 IEEE-RAS-EMBS International Conference on Rehabilitation Robotics (ICORR). (accepted)
2022
  • Aras Bacho, Holger Boche, and Gitta Kutyniok. “Complexity Blowup for Solutions of the Laplace and the Diffusion Equation.” arXiv preprint arXiv:2212.00693 (2022) – link.
  • Holger Boche, Adalbert Fono, and Gitta Kutyniok. “Limitations of Deep Learning for Inverse Problems on Digital Hardware.” arXiv preprint arXiv:2202.13490 (2022) – link.
  • Holger Boche, Adalbert Fono, and Gitta Kutyniok. “Inverse Problems Are Solvable on Real Number Signal Processing Hardware.” arXiv preprint arXiv:2204.02066 (2022) – link.
  • Jasmin Brandt,Viktor Bengs, Björn Haddenhorst, and Eyke Hüllermeier. “Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget.” Advances in Neural Information Processing Systems 35, NeurIPS 2022 (2022) – link
  • Philipp Scholl, Aras Bacho, Holger Boche, and Gitta Kutyniok. “Well-definedness of Physical Law Learning: The Uniqueness Problem.” arXiv preprint arXiv:2210.08342 (2022) – link.
  • Svenja Y. Schött, and Andreas Butz. “Robo-Tooltips: Understandable Robots for Trustworthy Interactions.” Mensch und Computer 2022-Workshopband (2022) – link.
  • Laura Bernáez Timón, Pierre Ekelmans, Nataliya Kraynyukova, Tobias Rose, Laura Busse, and Tatjana Tchumatchenko. “How to incorporate biological insights into network models and why it matters.” The Journal of Physiology (2022) – link.