Here is the list of publications authored by the consortium.

  • Boche, Holger, Adalbert Fono, and Gitta Kutyniok. “Limitations of Deep Learning for Inverse Problems on Digital Hardware.” arXiv preprint arXiv:2202.13490 (2022) – link.
  • Boche, Holger, Adalbert Fono, and Gitta Kutyniok. “Inverse Problems Are Solvable on Real Number Signal Processing Hardware.” arXiv preprint arXiv:2204.02066 (2022) – link.
  • Schött, Svenja Yvonne, and Andreas Butz. “Robo-Tooltips: Understandable Robots for Trustworthy Interactions.” Mensch und Computer 2022-Workshopband (2022). – link.
  • Scholl, Philipp, et al. “Well-definedness of Physical Law Learning: The Uniqueness Problem.” arXiv preprint arXiv:2210.08342 (2022) – link.
  • Bacho, Aras, Holger Boche, and Gitta Kutyniok. “Complexity Blowup for Solutions of the Laplace and the Diffusion Equation.” arXiv preprint arXiv:2212.00693 (2022) – link.
  • Hüllermeier, Eyke. “Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?.” arXiv preprint arXiv:2209.03302 (2022). – link.