GFlowNet Pretraining with Inexpensive Rewards

Generative Flow Networks (GFlowNets), a class of generative models have recently emerged as a suitable framework for generating diverse and high-quality molecular structures by learning from unnormalized reward distributions. Previous works in this direction often restrict exploration by using prede...

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Veröffentlicht in:	arXiv.org 2024-09
Hauptverfasser:	Pandey, Mohit, Subbaraj, Gopeshh, Bengio, Emmanuel
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Molecular structure
Online-Zugang:	Volltext
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