2 papers
cs.NE2026
An Optimization Framework for Automated Assessment of Biological Plausibility of Spiking Neurons
Sven Nitzsche, Alexandru Ionita, Andreas Faust +2
Biological plausibility is a key concept in neuromorphic computing and spiking neural networks, yet it remains inconsistently defined and difficult to quantify. In this work, we pr…
cs.LG2026
Zero-Inflated Gaussian Distributions Enable Parameter-Space Sparsity in Estimation-of-Distribution Algorithms
Andreas Faust, Sven Nitzsche, Juergen Becker
Estimation-of-distribution algorithms (EDAs) are a powerful class of evolutionary methods for black-box optimization, especially when little is known about the structure of the obj…