Gitta Astrid Hildegard Kutyniok
Adjunct Professor / Machine Learning
Ron Levie,
Haim Avron,
Gitta Astrid Hildegard Kutyniok
:
Quasi Monte Carlo time-frequency analysis
Journal of Mathematical Analysis and Applications 2023 DOI
Sohir Maskey,
Ron Levie,
Gitta Astrid Hildegard Kutyniok
:
Transferability of graph neural networks: An extended graphon approach
Applied and Computational Harmonic Analysis 2023 DOI
Héctor Andrade-Loarca,
Gitta Astrid Hildegard Kutyniok,
Ozan Öktem,
Philipp Petersen
:
Deep microlocal reconstruction for limited-angle tomography
Gitta Astrid Hildegard Kutyniok,
Philipp Petersen,
Mones Raslan,
Reinhold Schneider
:
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs
Stephan Wäldchen,
Jan Macdonald,
Sascha Hauch,
Gitta Astrid Hildegard Kutyniok
:
The computational complexity of understanding binary classifier decisions
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
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
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
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
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