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Sample-efficient Multi-objective Molecular Optimization with GFlowNets

NeurIPS 2023 · Probabilistic and scientific modeling › Bayesian optimization · approach: Multi-objective Bayesian optimization · 6 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use a preference-conditioned hypernetwork rather than concatenation or FiLM conditioning (ablation)GFlowNet on the synthetic molecular optimization task · Synthetic GSK3β + JNK3HV: Concat-GFN: 0.534 ± 0.069; FiLM-GFN: 0.431 ± 0.045; HN-GFN: 0.550 ± 0.074Helped
Use one preference-conditioned HN-GFN instead of separate preference-specific GFlowNetsGFlowNet on the synthetic molecular optimization task · Synthetic GSK3β + JNK3HV: PS-GFN: 0.545 ± 0.055; HN-GFN: 0.550 ± 0.074No clear effect
Use HN-GFN with hindsight-like off-policy sharing (ablation)HN-GFN within MOBO · MOBO first-round trainingaverage Top-20 rewardHelped
Increase the hindsight mixture proportion γ (ablation)HN-GFN within MOBO · MOBO first-round trainingaverage Top-20 rewardHelped
Skew the preference sampling distribution toward harder properties (ablation)HN-GFN · GSK3β + JNK3 + QED + SA MOBOHV: 0.312 ± 0.039 -> 0.416 ± 0.023Helped
Replace weighted-sum scalarization with Tchebycheff scalarization (ablation)HN-GFN · GSK3β + JNK3 + QED + SA MOBOHV: 0.416 ± 0.023 -> 0.304 ± 0.075Hurt
Replace evidential regression with Deep Ensembles (ablation)HN-GFN MOBO surrogate · GSK3β + JNK3 MOBOHV: 0.669 ± 0.061 -> 0.583 ± 0.103Hurt
Replace evidential regression with a Tanimoto-kernel GP (ablation)HN-GFN MOBO surrogate · GSK3β + JNK3 MOBODiv: 0.793 ± 0.007 -> 0.739 ± 0.008Hurt
Replace evidential regression with Deep Ensembles (ablation)HN-GFN MOBO surrogate · GSK3β + JNK3 + QED + SA MOBOHV: 0.416 ± 0.023 -> 0.355 ± 0.048Hurt
Replace evidential regression with a Tanimoto-kernel GP (ablation)HN-GFN MOBO surrogate · GSK3β + JNK3 + QED + SA MOBOHV: 0.416 ± 0.023 -> 0.421 ± 0.037No clear effect
Train HN-GFN using weighted-sum rather than Tchebycheff scalarization (ablation)HN-GFN · GSK3β + JNK3 + QED + SA MOBODiv: 0.732 ± 0.014 -> 0.738 ± 0.009No clear effect

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