Adalbert Fono

13 papers A* 1A 1B 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mathematical Foundations of Spiking Neural Networks: Strengths, challenges, and computational paradigm potential [Special Issue on the Mathematics of deep Learning].
IEEE Signal Process. Mag.
Adalbert Fono, Manjot Singh, Ernesto Araya, Philipp Christian Petersen, Holger Boche, Gitta Kutyniok
2026 J jnl
The Price of Robustness: Stable Classifiers Need Overparameterization.
CoRR
Jonas von Berg, Adalbert Fono, Massimiliano Datres, Sohir Maskey, Gitta Kutyniok
2025 J jnl
Sustainable AI: Mathematical Foundations of Spiking Neural Networks.
CoRR
Adalbert Fono, Manjot Singh, Ernesto Araya, Philipp Christian Petersen, Holger Boche, Gitta Kutyniok
2025 A* conf
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time.
ICML
Duc Anh Nguyen, Ernesto Araya, Adalbert Fono, Gitta Kutyniok
2025 J jnl
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time.
CoRR
Duc Anh Nguyen, Ernesto Araya, Adalbert Fono, Gitta Kutyniok
2024 B conf
A Mathematical Framework for Computability Aspects of Algorithmic Transparency.
ISIT
Holger Boche, Adalbert Fono, Gitta Kutyniok
2024 J jnl
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization.
CoRR
Holger Boche, Vít Fojtík, Adalbert Fono, Gitta Kutyniok
2024 J jnl
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement.
CoRR
Holger Boche, Adalbert Fono, Gitta Kutyniok
2023 J jnl
Expressivity of Spiking Neural Networks.
CoRR
Manjot Singh, Adalbert Fono, Gitta Kutyniok
2023 J jnl
Limitations of Deep Learning for Inverse Problems on Digital Hardware.
IEEE Trans. Inf. Theory
Holger Boche, Adalbert Fono, Gitta Kutyniok
2022 J jnl
Limitations of Deep Learning for Inverse Problems on Digital Hardware.
CoRR
Holger Boche, Adalbert Fono, Gitta Kutyniok
2022 J jnl
Non-Computability of the Pseudoinverse on Digital Computers.
CoRR
Holger Boche, Adalbert Fono, Gitta Kutyniok
2020 A conf
Process data based Anomaly detection in distributed energy generation using Neural Networks.
ICCAD
Max Klein, Gregor Thiele, Adalbert Fono, Niloufar Khorsandi, David Schade, Jörg Krüger