AIBullisharXiv โ CS AI ยท 10h ago6/10
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On Divergence Measures for Training GFlowNets
Researchers propose improved divergence measures for training Generative Flow Networks (GFlowNets), comparing Renyi-ฮฑ, Tsallis-ฮฑ, and KL divergences to enhance statistical efficiency. The work introduces control variates that reduce gradient variance and achieve faster convergence than existing methods, bridging GFlowNets training with generalized variational inference frameworks.