Reservoir computing is one of the computational frameworks based on recurrent neural networks for learning sequential data. We study the memristive reservoir computing where a network of memristors, instead of recurrent neural networks, provides a ...
Reservoir computing (RC) system, featured by its recursive structure, has been utilized for temporal signal processing, offering both low power consumption and high computational speed. This work reports on a novel input delay reservoir computing ...
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Counterfactual explanations have become a major focus for post-hoc explainability research in recent years, as they seem to provide good algorithmic recourse solutions, people can readily understand them, and they may meet legal regulations (such ...
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