GFlowNets are generative networks that consider the generation process as a flow network. They are theoretically better at handling the difficult cases of sampling different modes of a distribution and when different sampling trajectories can yield the same final state. In this work, we hope to explore various improvements to GFlowNets to make them suitable […]
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