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Rodrigo Veiga

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Preprint Aug 2026

Information-Geometric Forward Policy Training in GFlowNets

This work formulate forward-policy training in GFlowNets through the information geometry of the induced trajectory sampler, and derives an exact decomposition of the trajectory Fisher into per-step conditional second moments, which clarifies when temporal score interactions vanish and when dense couplings remain under...

Y. Raykov, Rodrigo Veiga · 1 citation

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