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12/28/2022
Persistence-based operators in machine learning
Artificial neural networks can learn complex, salient data features to a...
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08/01/2022
Neural network layers as parametric spans
Properties such as composability and automatic differentiation made arti...
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04/27/2022
Machines of finite depth: towards a formalization of neural networks
We provide a unifying framework where artificial neural networks and the...
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04/20/2022
Dependent Optics
A wide variety of bidirectional data accessors, ranging from mixed optic...
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07/06/2020
Parametric machines: a fresh approach to architecture search
Using tools from category theory, we provide a framework where artificia...
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05/22/2019