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2025 ICML ICML 2025

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

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

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Authors

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

Topics

Machine Learning > Application Areas > Efficient Computing Deep Learning > Architectures > Neural Networks Deep Learning > Learning Types > Representation Learning

Keywords

spiking neural network network size leaky integrate-and-fire piecewise constant function polyhedral region approximate continuous functions
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