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11/25/2022
The smooth output assumption, and why deep networks are better than wide ones
When several models have similar training scores, classical model select...
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11/18/2022
Understanding the double descent curve in Machine Learning
The theory of bias-variance used to serve as a guide for model selection...
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10/26/2022
Multi-level Data Representation For Training Deep Helmholtz Machines
A vast majority of the current research in the field of Machine Learning...
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07/20/2022
Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?
It is generally assumed that the brain uses something akin to sparse dis...
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07/11/2022
Multiple-Modality Associative Memory: a framework for Learning
Drawing from memory the face of a friend you have not seen in years is a...
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04/30/2021