Limitations of deep learning for inverse problems on digital hardware

DOI10.1109/TIT.2023.3326879zbMATH Open1547.68682MaRDI QIDQ6575593

Adalbert Fono, Gitta Kutyniok, Holger Boche

Publication date: 21 July 2024

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

zbMATH Keywords

Turing machinesdeep neural networkscurrent hardware platforms

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Mathematical problems of computer architecture (68M07) Classical models of computation (Turing machines, etc.) (68Q04)

Related Items (2)

Compositional sparsity of learnable functions ⋮ Inverse problems are solvable on real number signal processing hardware

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