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20222026
most citedSymplectic Momentum Neural Networks -- Using Discrete Variational Mechanics as a prior in Deep Learning

1 citations · 2 across the 8 of their papers we have counts for

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cs.LG2024

Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval

Saul Santos, Vlad Niculae, Daniel McNamee +1

Associative memory models, such as Hopfield networks and their modern variants, have garnered renewed interest due to advancements in memory capacity and connections with self-atte…

cs.LG2024★ 1 cited

Sparse and Structured Hopfield Networks

Saul Santos, Vlad Niculae, Daniel McNamee +1

Modern Hopfield networks have enjoyed recent interest due to their connection to attention in transformers. Our paper provides a unified framework for sparse Hopfield networks by e…