3 citations · 5 across the 7 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Data-Driven Energy-Based Learning via Gibbs Measures on Hierarchical Structures
L. U. Abdullaev, F. Herrera, U. A. Rozikov +1
We introduce a data-driven probabilistic framework for learning systems based on Gibbs measures on hierarchical structures. Unlike standard empirical risk minimization, where a dat…
cs.LG2025
Ising Models with Hidden Markov Structure: Applications to Probabilistic Inference in Machine Learning
F. Herrera, U. A. Rozikov, M. V. Velasco
In this paper, we investigate tree-indexed Markov chains (Gibbs measures) defined by a Hamiltonian that couples two Ising layers: hidden spins \(s(x) \in \{\pm 1\}\) and observed s…