Gitta Astrid Hildegard Kutyniok
Holger Boche,
Adalbert Fono,
Gitta Astrid Hildegard Kutyniok
:
Inverse problems are solvable on real number signal processing hardware
Applied and Computational Harmonic Analysis 2025 DOI
Stefan Küchemann,
Karina E. Avila,
Yavuz Dinc,
Chiara Hortmann,
Natalia Revenga,
Verena Ruf
m.fl.:
On opportunities and challenges of large multimodal foundation models in education
npj Science of learning 2025 DOI
Sohir Maskey,
Gitta Astrid Hildegard Kutyniok,
Ron Levie
:
Generalization Bounds for Message Passing Networks on Mixture of Graphons
SIAM Journal on Mathematics of Data Science 2025 DOI
Holger Boche,
Vit Fojtik,
Adalbert Fono,
Gitta Astrid Hildegard Kutyniok
:
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility Through Quantization
Journal of Fourier Analysis and Applications 2025 DOI
Cagkan Yapar,
Fabian Jaensch,
Ron Levie,
Gitta Astrid Hildegard Kutyniok,
Giuseppe Caire
:
Overview of the First Pathloss Radio Map Prediction Challenge
Yunseok Lee,
Holger Boche,
Gitta Astrid Hildegard Kutyniok
:
Computability of optimizers for AI and data science
Handbook of Numerical Analysis 2024 DOI
Yannik N. Bock,
Holger Boche,
Frank H. P. Fitzek,
Gitta Astrid Hildegard Kutyniok
:
Computing-Model and Computing-Hardware Selection for ICT under Societal and Judicial Constraints
Cagkan Yapar,
Ron Levie,
Gitta Astrid Hildegard Kutyniok,
Giuseppe Caire
:
Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach
Ron Levie,
Haim Avron,
Gitta Astrid Hildegard Kutyniok
:
Quasi Monte Carlo time-frequency analysis
Sohir Maskey,
Ron Levie,
Gitta Astrid Hildegard Kutyniok
:
Transferability of graph neural networks: An extended graphon approach
Héctor Andrade-Loarca,
Gitta Astrid Hildegard Kutyniok,
Ozan Öktem,
Philipp Petersen
:
Deep microlocal reconstruction for limited-angle tomography
Moritz Geist,
Philipp Petersen,
Mones Raslan,
Reinhold Schneider,
Gitta Astrid Hildegard Kutyniok
:
Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks
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
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
Stephan Wäldchen,
Jan Macdonald,
Sascha Hauch,
Gitta Astrid Hildegard Kutyniok
:
The computational complexity of understanding binary classifier decisions
Gitta Astrid Hildegard Kutyniok,
Philipp Petersen,
Mones Raslan,
Reinhold Schneider
:
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs
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
Gitta Astrid Hildegard Kutyniok
:
Deep Learning meets Modeling: Taking the Best out of Both Worlds
2021
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