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Dmitry Krotov

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Preprint Oct 2026

Sample-efficient learning with Dense Associative Memories

We analytically study the evolution of the energy function of Dense Associative Memories (DenseAMs) as they train on randomly sampled codewords of random expander low-density parity-check codes (a.k.a. solutions of random XORSAT problems). We identify two distinct regimes and a transition between them, reminiscent of g...

Andrew Lucas, Dmitry Krotov · 0 citations

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