Gitta Astrid Hildegard Kutyniok
Holger Boche,
Adalbert Fono,
Gitta Astrid Hildegard Kutyniok
:
Inverse problems are solvable on real number signal processing hardware
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
Sohir Maskey,
Gitta Astrid Hildegard Kutyniok,
Ron Levie
:
Generalization Bounds for Message Passing Networks on Mixture of Graphons
Holger Boche,
Vit Fojtik,
Adalbert Fono,
Gitta Astrid Hildegard Kutyniok
:
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility Through Quantization
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
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
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
Gitta Astrid Hildegard Kutyniok
:
Deep Learning meets Modeling: Taking the Best out of Both Worlds
2021 ARKIV
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