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In this article, we propose a variational inference formulation of auto-associative memories, allowing us to combine perceptual inference and memory retrieval into the same mathematical framework.
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Feedforward initialization for fast inference of deep generative networks is biologically plausible
Y. Bengio, B. Scellier, O. Bilaniuk, J. Sacramento, and W. Senn · 2016
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Deep unsupervised clustering with gaussian mixture variational autoencoders
N. Dilokthanakul, P. A. Mediano, M. Garnelo, M. C. Lee, H. Salimbeni, K. Arulkumaran, and M. Shanahan · 2016
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Hybrid computing using a neural network with dynamic external memory
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Dense associative memory is robust to adversarial inputs
D. Krotov and J. Hopfield · 2018
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H. Le, T. Tran, T. Nguyen, and S. Venkatesh · 2018
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Iterative amortized inference
J. Marino, Y. Yue, and S. Mandt · 2018
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Monet: Unsupervised scene decomposition and representation
C. P. Burgess, L. Matthey, N. Watters, R. Kabra, I. Higgins, M. Botvinick, and A. Lerchner · 2019
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Overparameterized neural networks implement associative memory
A. Radhakrishnan, M. Belkin, and C. Uhler · 2020
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Kanerva++: Extending the kanerva machine with differentiable, locally block allocated latent memory
J. Ramapuram, Y. Wu, and A. Kalousis · 2020
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Dense associative memory for pattern recognition
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Variational memory addressing in generative models
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The free energy principle for action and perception: A mathematical review
C. L. Buckley, C. S. Kim, S. McGregor, and A. K. Seth · 2017
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On a model of associative memory with huge storage capacity
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Attention is all you need
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Hopfield networks is all you need
H. Ramsauer, B. Schäfl, J. Lehner, P. Seidl, M. Widrich, T. Adler, L. Gruber, M. Holzleitner, M. Pavlović, G. K. Sandve, et al · 2020
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A predictive coding account for chaotic itinerancy
L. Annabi, A. Pitti, and M. Quoy · 2021
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Attention approximates sparse distributed memory
T. Bricken and C. Pehlevan · 2021
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Associative memories via predictive coding
T. Salvatori, Y. Song, Y. Hong, L. Sha, S. Frieder, Z. Xu, R. Bogacz, and T. Lukasiewicz · 2021
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Universal hopfield networks: A general framework for single-shot associative memory models
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Hybrid predictive coding: Inferring, fast and slow
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