Dec 14 – 15, 2023
Centre for Particle Theory
Europe/London timezone

Towards interpretable machine learning with Restricted Boltzmann Machine

Dec 14, 2023, 5:50 PM
Ph30 (Centre for Particle Theory)


Centre for Particle Theory

Long Talk (20 mins) Lattice Physics


Chanju Park (Swansea University)


Restricted Boltzmann Machines (RBMs) are energy-based machine learning models inspired by the spin-glass system. Using its energy function, we can analyse its training dynamics in terms of statistical mechanics and map its hyperparameters to thermodynamic quantities. This interpretability unravels the black-box nature of the machine-learning process and allows us to understand the underlying mechanisms.

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Primary author

Chanju Park (Swansea University)


Biagio Lucini (Swansea University) Gert Aarts (Swansea University)

Presentation materials