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Diego Mesquita

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#machine learning Preprint Sep 2026

Particle GFlowNets: Rethinking Generative Marginalization Models

This work describes an automatic criterion for full-state rejuvenation of the Gibbs sampler, derived from the Gelman-Rubin statistic, which plays a key role in speeding up learning convergence.

Tiago da Silva, Diego Mesquita, S. Lahlou · 0 citations

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