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cs.LG2019
Explaining Deep Learning Models with Constrained Adversarial Examples
Jonathan Moore, Nils Hammerla, Chris Watkins
Machine learning algorithms generally suffer from a problem of explainability. Given a classification result from a model, it is typically hard to determine what caused the decisio…
cs.NE2019
An evolutionary model that satisfies detailed balance
Jüri Lember, Chris Watkins
We propose a class of evolutionary models that involves an arbitrary exchangeable process as the breeding process and different selection schemes. In those models, a new genome is…