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cond-mat.dis-nn2026
Replica Theory of Spherical Boltzmann Machine Ensembles
Thomas Tulinski, Jorge Fernandez-De-Cossio-Diaz, Simona Cocco +1
Training in machine learning generally consists in finding one model, whose parameters minimize a data-dependent loss. Yet, empirical work shows that ensemble learning, an approach…
cond-mat.dis-nn1999★ 139 cited
A variational description of the ground state structure in random satisfiability problems
Giulio Biroli, Remi Monasson, Martin Weigt
A variational approach to finite connectivity spin-glass-like models is developed and applied to describe the structure of optimal solutions in random satisfiability problems. Our…