most citedPre-Training and Fine-Tuning Generative Flow Networks

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cs.LG2023★ 1 cited

Pre-Training and Fine-Tuning Generative Flow Networks

Ling Pan, Moksh Jain, Kanika Madan +1

Generative Flow Networks (GFlowNets) are amortized samplers that learn stochastic policies to sequentially generate compositional objects from a given unnormalized reward distribut…

cs.LG2023

Learning to Scale Logits for Temperature-Conditional GFlowNets

Minsu Kim, Joohwan Ko, Taeyoung Yun +6

GFlowNets are probabilistic models that sequentially generate compositional structures through a stochastic policy. Among GFlowNets, temperature-conditional GFlowNets can introduce…