Minimum-flow GFlowNets on graphs encode optimal transport plans, with the learned policy recovering the optimal coupling between source and target distributions.
arXiv preprint arXiv:2410.04461 , year=
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cs.LG 2years
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SILO outperforms five baselines on eight protein fitness landscapes by using trajectory-level imitation on trajectories selected via hierarchical beam search and biological proxy guidance under limited oracle budgets.
citing papers explorer
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Your GFlowNet Secretly Learns an Optimal Transport Plan
Minimum-flow GFlowNets on graphs encode optimal transport plans, with the learned policy recovering the optimal coupling between source and target distributions.
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Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets
SILO outperforms five baselines on eight protein fitness landscapes by using trajectory-level imitation on trajectories selected via hierarchical beam search and biological proxy guidance under limited oracle budgets.