Preprints

2022

E. Kasneci, K. Sessler, S. Küchemann, M. Bannert, D. Dementieva, F. Fischer, U. Gasser, G. Groh, S. Günnemann, E. Hüllermeier, S. Krusche, G. Kutyniok, T. Michaeli, C. Nerdel, J. Pfeffer, O. Poquet, M. Sailer, A. Schmidt, T. Seidel, M. Stadler, J. Weller, J. Kuhn, G. Kasneci. ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. Learning & Individual Differences, to appear (pdf).

Y. Lee, H. Boche, G. Kutyniok. Computability of Optimizers (arXiv:2301.06148)
A. Bacho, H. Boche, G. Kutyniok. Complexity Blowup for Solutions of the Laplace and the Diffusion Equation. (arXiv:2212.00693)
H. Boche, A. Fono and G. Kutyniok. Limitations of Deep Learning for Inverse Problems on Digital Hardware (arXiv:2202.13490)
G. Kutyniok, The Mathematics of Artificial Intelligence (pdf)
H. Boche, A. Fono and G. Kutyniok. Inverse Problems Are Solvable on Real Number Signal Processing Hardware (arxiv:2204.02066)
M. Ko, U. K. Panchal, H. Andrade-Loarca, A. Mendez-Vazquez. CoShNet: A Hybird Complex Valued Neural Network using Shearlets (arXiv:2208.06882)
H. Boche, A. Fono and G. Kutyniok. Non-Computability of the Pseudoinverse on Digital Computers (arXiv:2212.02940)

R. Levie, H. Avron, and G. Kutyniok. Quasi Monte Carlo Time-Frequency Analysis (arXiv:2011.02025)
C. Yapar, R. Levie, G. Kutyniok, and G. Caire. Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach (arXiv:2106.12556)
S. Maskey, R. Levie, and G. Kutyniok. Transferability of Graph Neural Networks: an Extended Graphon Approach. (arXiv:2109.10096)