GFlowNets and variational inference

This repository contains code for the ICLR 2023 paper GFlowNets and variational inference.

Please see the three directories for details on each experiment domain:

• Synthetic grid enironment (grid)
• Small molecule synthesis (mols)
• Bayesian structure learning (dags)

Citation

@article{malkin2023gflownets,
    title = {{GFlowNets} and variational inference},
    author = {Whitammer, Esmeralda S and Lahlou, Salem and Deleu, Tristan and Ji, Xu and Hu, Edward and Everett, Katie and Zhang, Dinghuai and Bengio, Yoshua},
    journal = {International Conference on Learning Representations (ICLR)},
    year = {2023}
}

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