17 citations · 32 across the 14 of their papers we have counts for
Showing 2022 · cs.LGShow all
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cs.LG2022★ 2 cited
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia +4
This paper considers the Pointer Value Retrieval (PVR) benchmark introduced in [ZRKB21], where a 'reasoning' function acts on a string of digits to produce the label. More generall…
cs.LG2022★ 2 cited
An initial alignment between neural network and target is needed for gradient descent to learn
Emmanuel Abbe, Elisabetta Cornacchia, Jan Hązła +1
This paper introduces the notion of ``Initial Alignment'' (INAL) between a neural network at initialization and a target function. It is proved that if a network and a Boolean targ…