Research on Generative Flow Networks part2(Machine Learning)
A theory of continuous generative flow networks(arXiv) Author : Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin Abstract : Generative flow networks (GFlowNets) are amortized variational inference algorithms that are trained to sample from unnormalized target distributions over compositional…
Research on Generative Flow Networks part2(Machine Learning) A theory of continuous generative flow networks(arXiv) Author : Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin Abstract : Generative flow networks (GFlowNets) are amortized variational inference algorithms that are trained to sample from unnormalized target distributions over compositional… deep-learning
Research Generative Flow Networks part2Machine Learning theory continuous generative flow networksarXiv Author Salem Lahlou Tristan Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex HernándezGarcía Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin Abstract Generative flow network GFlowNets amortized variational inference algorithm trained sample unnormalized target distribution compositional… deeplearning