A nonequilibrium latent-variable Markov model spontaneously develops cycles during likelihood training that enhance generative performance over equilibrium approaches.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.stat-mech 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling
A nonequilibrium latent-variable Markov model spontaneously develops cycles during likelihood training that enhance generative performance over equilibrium approaches.