Adalbert Fono - RankMe

13 papers A* 1A 1B 1Journal 10

Year	Rank	Type	Title / 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