Random Features Hopfield Networks generalize retrieval to previously
unseen examples

Random Features Hopfield Networks generalize retrieval to previously unseen examples

8 July 2024

Clarissa Lauditi

Gabriele Perugini

Carlo Lucibello

Enrico M. Malatesta

Matteo Negri

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Papers citing "Random Features Hopfield Networks generalize retrieval to previously unseen examples"

7 / 7 papers shown

Title
In search of dispersed memories: Generative diffusion models are associative memory networks Luca Ambrogioni DiffM 58 27 0 29 Sep 2023
Learning through atypical "phase transitions" in overparameterized neural networks Carlo Baldassi Clarissa Lauditi Enrico M. Malatesta R. Pacelli Gabriele Perugini R. Zecchina 77 27 0 01 Oct 2021
Large Associative Memory Problem in Neurobiology and Machine Learning Dmitry Krotov J. Hopfield 62 142 0 16 Aug 2020
Hopfield Networks is All You Need Hubert Ramsauer Bernhard Schafl Johannes Lehner Philipp Seidl Michael Widrich ... David P. Kreil Michael K Kopp Günter Klambauer Johannes Brandstetter Sepp Hochreiter 128 437 0 16 Jul 2020
The Gaussian equivalence of generative models for learning with shallow neural networks Sebastian Goldt Bruno Loureiro Galen Reeves Florent Krzakala M. Mézard Lenka Zdeborová BDL 88 107 0 25 Jun 2020
Generalisation error in learning with random features and the hidden manifold model Federica Gerace Bruno Loureiro Florent Krzakala M. Mézard Lenka Zdeborová 75 172 0 21 Feb 2020
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 437 10,548 0 21 Jul 2016