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Adalbert Fono
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Journal Articles
- 2023
- [j1]Holger Boche, Adalbert Fono, Gitta Kutyniok:
Limitations of Deep Learning for Inverse Problems on Digital Hardware. IEEE Trans. Inf. Theory 69(12): 7887-7908 (2023)
Conference and Workshop Papers
- 2024
- [c2]Holger Boche, Adalbert Fono, Gitta Kutyniok:
A Mathematical Framework for Computability Aspects of Algorithmic Transparency. ISIT 2024: 3089-3094 - 2020
- [c1]Max Klein, Gregor Thiele, Adalbert Fono, Niloufar Khorsandi, David Schade, Jörg Krüger:
Process data based Anomaly detection in distributed energy generation using Neural Networks. ICCAD 2020: 1-5
Informal and Other Publications
- 2024
- [i5]Holger Boche, Adalbert Fono, Gitta Kutyniok:
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement. CoRR abs/2401.10310 (2024) - [i4]Holger Boche, Vít Fojtík, Adalbert Fono, Gitta Kutyniok:
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization. CoRR abs/2408.06212 (2024) - 2023
- [i3]Manjot Singh, Adalbert Fono, Gitta Kutyniok:
Expressivity of Spiking Neural Networks. CoRR abs/2308.08218 (2023) - 2022
- [i2]Holger Boche, Adalbert Fono, Gitta Kutyniok:
Limitations of Deep Learning for Inverse Problems on Digital Hardware. CoRR abs/2202.13490 (2022) - [i1]Holger Boche, Adalbert Fono, Gitta Kutyniok:
Non-Computability of the Pseudoinverse on Digital Computers. CoRR abs/2212.02940 (2022)
Coauthor Index
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