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Uncover hidden GFlowNet training dynamics with GFlowState, a visual analytics tool that reveals how these models explore the sample space and shift sampling probabilities.
AI researchers are not neutral observers but implicated actors in the harms caused by AI-powered weapons, demanding a shift towards solidarity with victims.
Ditch the greedy heuristics: GFlowNets can learn to sample decision trees from the Bayesian posterior, outperforming standard methods and scaling consistently with ensemble size.