Bernhard Moser

Johannes Kepler University of Linz — Austria

Computer Science · Physical Sciences

14h-index1.1kcitations112works1.12yr avg
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Research Topics

Neural Networks and Applications(21), Fuzzy Logic and Control Systems(16), Privacy-Preserving Technologies in Data(12), Advanced Memory and Neural Computing(11), Neural dynamics and brain function(10)

Publications112 total

Operator-Theoretic Framework for Gradient-Free Federated Learning
arXiv (Cornell University)·2025Open Access
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent
Journal of Artificial Intelligence Research·2025· 1 citedOpen Access
On the sampling sparsity of analog-to-spike conversion based on leaky integrate-and-fire
Neuromorphic Computing and Engineering·2025Open Access
Integrate-and-Fire from a Mathematical and Signal Processing Perspective
arXiv (Cornell University)·2025· 2 citedOpen Access
Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance
Lecture notes in computer science·2025
Integrate-and-Fire from a Mathematical and Signal Processing Perspective
2024
On the Sampling Sparsity of Neuromorphic Analog-to-Spike Conversion based on Leaky Integrate-and-Fire
arXiv (Cornell University)·2024Open Access
On the Solvability of the {XOR} Problem by Spiking Neural Networks
arXiv (Cornell University)·2024Open Access
Spiking neural networks in the Alexiewicz topology: A new perspective on analysis and error bounds
Neurocomputing·2024· 6 citedOpen Access
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent
arXiv (Cornell University)·2024Open Access
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach
Journal of Artificial Intelligence Research·2024· 5 citedOpen Access
On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals
arXiv (Cornell University)·2024Open Access
On the Solvability of the XOR Problem by Spiking Neural Networks
Communications in computer and information science·2024
Risk Assessment in AI System Engineering: Experiences and Lessons Learned from a Practitioner’s Perspective
Communications in computer and information science·2024· 2 cited
SNN Architecture for Differential Time Encoding Using Decoupled Processing Time
arXiv (Cornell University)·2023Open Access
Rethinking data augmentation for adversarial robustness
Information Sciences·2023· 13 citedOpen Access
Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0
2023· 3 citedOpen Access
Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review
2023· 2 citedOpen Access
Representing piecewise linear functions by functions with small arity
Applicable Algebra in Engineering Communication and Computing·2023· 1 cited
Representing Piecewise Linear Functions by Functions with Small Arity
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Werner Zellinger(8), Mohit Kumar(8), Bernhard Freudenthaler(6), Erich Peter Klement(5), Lukas Fischer(5), Natalia Shepeleva(4), Susanne Saminger‐Platz(3), Michael Rossbory(3), Holger Schöner(3), Gernot Stübl(3), Jean-Luc Bouchot(3), Roland Leser(3), Thomas Hoch(3), Arnold Baca(3), Maura Pintor(3), Battista Biggio(3), Michael Lunglmayr(3), László T. Kóczy(2), Thomas Natschläger(2), Ramin Nikzad‐Langerodi(2)