The probability density function for the visible sector of a Riemann-Theta Boltzmann machine can be taken conditional on a subset of the visible units. We derive that the corresponding conditional density function is given by a reparameterization of the Riemann-Theta Boltzmann machine modelling the original probability density function. Therefore the conditional densities can be directly inferred from the Riemann-Theta Boltzmann machine.
Modelling conditional probabilities with Riemann-Theta Boltzmann Machines / S. Carrazza, D. Krefl, A. Papaluca. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6596. - 1525(2020). ((Intervento presentato al convegno ACAT 2019 tenutosi a Saas-Fee (CH) nel 2019.
Modelling conditional probabilities with Riemann-Theta Boltzmann Machines
S. Carrazza;
2020
Abstract
The probability density function for the visible sector of a Riemann-Theta Boltzmann machine can be taken conditional on a subset of the visible units. We derive that the corresponding conditional density function is given by a reparameterization of the Riemann-Theta Boltzmann machine modelling the original probability density function. Therefore the conditional densities can be directly inferred from the Riemann-Theta Boltzmann machine.
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Carrazza_2020_J._Phys.__Conf._Ser._1525_012005.pdf
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