Adalbert Fono

According to our database, Adalbert Fono authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Complexity Theory meets Ordinary Differential Equations.

Adalbert Fono, Noah Wedlich, Holger Boche, Gitta Kutyniok

CoRR, April, 2026

Mathematical Foundations of Spiking Neural Networks: Strengths, challenges, and computational paradigm potential [Special Issue on the Mathematics of deep Learning].

Adalbert Fono, Manjot Singh, Ernesto Araya, Philipp Christian Petersen, Holger Boche, Gitta Kutyniok

IEEE Signal Process. Mag., March, 2026

The Price of Robustness: Stable Classifiers Need Overparameterization.

Jonas von Berg, Adalbert Fono, Massimiliano Datres, Sohir Maskey, Gitta Kutyniok

CoRR, March, 2026

2025

Sustainable AI: Mathematical Foundations of Spiking Neural Networks.

Adalbert Fono, Manjot Singh, Ernesto Araya, Philipp Christian Petersen, Holger Boche, Gitta Kutyniok

CoRR, March, 2025

Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time.

Duc Anh Nguyen, Ernesto Araya, Adalbert Fono, Gitta Kutyniok

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization.

Holger Boche, Vít Fojtík, Adalbert Fono, Gitta Kutyniok

CoRR, 2024

Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement.

Holger Boche, Adalbert Fono, Gitta Kutyniok

CoRR, 2024

A Mathematical Framework for Computability Aspects of Algorithmic Transparency.

Holger Boche, Adalbert Fono, Gitta Kutyniok

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Limitations of Deep Learning for Inverse Problems on Digital Hardware.

Holger Boche, Adalbert Fono, Gitta Kutyniok

IEEE Trans. Inf. Theory, December, 2023

Expressivity of Spiking Neural Networks.

Manjot Singh, Adalbert Fono, Gitta Kutyniok

CoRR, 2023

2022

Non-Computability of the Pseudoinverse on Digital Computers.

Holger Boche, Adalbert Fono, Gitta Kutyniok

CoRR, 2022

2020

Process data based Anomaly detection in distributed energy generation using Neural Networks.

Max Klein, Gregor Thiele, Adalbert Fono, Niloufar Khorsandi, David Schade, Jörg Krüger

Proceedings of the International Conference on Control, Automation and Diagnosis, 2020