Yunseok Lee,
Holger Boche,
Gitta Astrid Hildegard Kutyniok
:
Computability of optimizers for AI and data science
Handbook of Numerical Analysis 2024
DOI
Sohir Maskey,
Ron Levie,
Gitta Astrid Hildegard Kutyniok
:
Transferability of graph neural networks: An extended graphon approach
Applied and Computational Harmonic Analysis 2023
ARKIV /
DOI
Ron Levie,
Haim Avron,
Gitta Astrid Hildegard Kutyniok
:
Quasi Monte Carlo time-frequency analysis
Journal of Mathematical Analysis and Applications 2023
ARKIV /
DOI
Cagkan Yapar,
Ron Levie,
Gitta Astrid Hildegard Kutyniok,
Giuseppe Caire
:
Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach
IEEE Transactions on Wireless Communications 2023
ARKIV /
DOI
Héctor Andrade-Loarca,
Gitta Astrid Hildegard Kutyniok,
Ozan Öktem,
Philipp Petersen
:
Deep microlocal reconstruction for limited-angle tomography
Applied and Computational Harmonic Analysis 2022
ARKIV /
DOI
Gitta Astrid Hildegard Kutyniok,
Philipp Petersen,
Mones Raslan,
Reinhold Schneider
:
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs
Constructive approximation 2021
ARKIV /
DOI
Van Tiep Do,
Ron Levie,
Gitta Astrid Hildegard Kutyniok
:
Analysis of simultaneous inpainting and geometric separation based on sparse decomposition
Analysis and Applications 2021
DOI
Ali Hashemi,
Chang Cai,
Gitta Astrid Hildegard Kutyniok,
Klaus R. Müller,
Srikantan S. Nagarajan,
Stefan Haufe
:
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework
Moritz Geist,
Philipp Petersen,
Mones Raslan,
Reinhold Schneider,
Gitta Astrid Hildegard Kutyniok
:
Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks
Journal of Scientific Computing 2021
ARKIV /
DOI
Stephan Wäldchen,
Jan Macdonald,
Sascha Hauch,
Gitta Astrid Hildegard Kutyniok
:
The computational complexity of understanding binary classifier decisions
The journal of artificial intelligence research 2021
ARKIV /
DOI
Héctor Andrade-Loarca,
Gitta Astrid Hildegard Kutyniok,
Ozan Öktem
:
Shearlets as feature extractor for semantic edge detection: The model-based and data-driven realm: Shearlets for Semantic Edge Detection
Proceedings of the Royal Society. Mathematical, Physical and Engineering Sciences 2020
ARKIV /
DOI
Ingo Guhring,
Gitta Astrid Hildegard Kutyniok,
Philipp Petersen
:
Error bounds for approximations with deep ReLU neural networks in W s, p norms
Analysis and Applications 2019
DOI