Author

Tiago da Silva

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Preprint Aug 2026

Path-dependent Discrete Amortized Inference

It is demonstrated that the Markovian assumption can both hamper signal propagation during training and catastrophically reduce the learned sampler's expressivity due to state aliasing.

Tiago da Silva, Esmeralda S. Whitammer, S. Lahlou · 0 citations

#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