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Introducing the Neuroexplicit Models Blog
14th November 2025, by Ji-Ung Lee | A F L V
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Abstract: Neuroexplicit models are a type of machine learning model that combines deep learning with explicit AI; allowing them to utilize the generalization capabilities of deep neural models and at the same time, to exploit human-understandable, explicit components. Neurosymbolic models are the most prominent, but by far not the sole kind of neuroexplicit models. In this blog post, we will draw an outline of neuroexplicit models and by doing so, provide a new perspective on taxonomizing the increasing number of AI models. |