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Bernhard A. Moser

Institute of Signal Processing

On the Solvability of the {XOR} Problem by Spiking Neural Networks

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Aug 11, 2024
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Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent

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Jul 05, 2024
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On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals

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Feb 10, 2024
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SNN Architecture for Differential Time Encoding Using Decoupled Processing Time

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Nov 24, 2023
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Quantization in Spiking Neural Networks

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May 13, 2023
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Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error Bounds

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May 09, 2023
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Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation

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May 02, 2023
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Kernel Affine Hull Machines for Differentially Private Learning

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Apr 03, 2023
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Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

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May 04, 2022
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Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework

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Jun 14, 2021
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