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GFlowNet

model1 events
papersSEP 11 04:00 UTC

Partial GFlowNet Method Aims to Speed Convergence in Large State Spaces

A revised arXiv paper proposes Partial GFlowNet, an approach that divides large state spaces into partitions to improve training convergence. The authors argue that standard GFlowNets, which explore state spaces freely, struggle to converge as those spaces grow. The work targets generative flow networks that sample candidates in proportion to their rewards.

gflownet/research/arxiv/generative-models