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Stochastic Generative Flow Networks.

, , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1628-1638. PMLR, (2023)

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Amortizing intractable inference in diffusion models for vision, language, and control., , , , , , , , , and 5 other author(s). CoRR, (2024)GFlowOut: Dropout with Generative Flow Networks., , , , , , , , , and 3 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 21715-21729. PMLR, (2023)Learning GFlowNets From Partial Episodes For Improved Convergence And Stability., , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 23467-23483. PMLR, (2023)PhyloGFN: Phylogenetic inference with generative flow networks., , , , , , , and . CoRR, (2023)Stochastic Generative Flow Networks., , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1628-1638. PMLR, (2023)GFlowNets for AI-Driven Scientific Discovery., , , , , and . CoRR, (2023)Pre-Training and Fine-Tuning Generative Flow Networks., , , and . CoRR, (2023)GFlowNet-EM for Learning Compositional Latent Variable Models., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 13528-13549. PMLR, (2023)Biological Sequence Design with GFlowNets., , , , , , , , , and 3 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 9786-9801. PMLR, (2022)DEUP: Direct Epistemic Uncertainty Prediction., , , , , , , and . Trans. Mach. Learn. Res., (2023)