8 citations · 15 across the 4 of their papers we have counts for
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cs.LG2020★ 3 cited
On 1/n neural representation and robustness
Josue Nassar, Piotr Aleksander Sokol, SueYeon Chung +2
Understanding the nature of representation in neural networks is a goal shared by neuroscience and machine learning. It is therefore exciting that both fields converge not only on…
cs.LG2019★ 2 cited
Characterizing the invariances of learning algorithms using category theory
Kenneth D. Harris
Many learning algorithms have invariances: when their training data is transformed in certain ways, the function they learn transforms in a predictable manner. Here we formalize th…