Alfonso de Jesús Navas Gómez
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View article: Inferring Higher-Order Couplings with Neural Networks
Inferring Higher-Order Couplings with Neural Networks Open
Maximum entropy methods, rooted in the inverse Ising/Potts problem from statistical physics, are widely used to model pairwise interactions in complex systems across disciplines such as bioinformatics and neuroscience. While successful, th…
View article: Inferring effective couplings with restricted Boltzmann machines
Inferring effective couplings with restricted Boltzmann machines Open
Generative models offer a direct way of modeling complex data. Energy-based models attempt to encode the statistical correlations observed in the data at the level of the Boltzmann weight associated with an energy function in the form of a…