Universal representation by Boltzmann machines with Regularised Axons

no code implementations • 22 Oct 2023 • Przemysław R. Grzybowski, Antoni Jankiewicz, Eloy Piñol, David Cirauqui, Dorota H. Grzybowska, Paweł M. Petrykowski, Miguel Ángel García-March, Maciej Lewenstein, Gorka Muñoz-Gil, Alejandro Pozas-Kerstjens

It is widely known that Boltzmann machines are capable of representing arbitrary probability distributions over the values of their visible neurons, given enough hidden ones.

Retrieval

Efficient training of energy-based models via spin-glass control

1 code implementation • 3 Oct 2019 • Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Eloy Piñol, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemysław R. Grzybowski

We introduce a new family of energy-based probabilistic graphical models for efficient unsupervised learning.