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GFlowNet-EM for Learning Compositional Latent Variable Models.

, , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 13528-13549. PMLR, (2023)

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Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations., , and . BMVC, page 478-479. BMVA Press, (2023)GFlowNet-EM for Learning Compositional Latent Variable Models., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 13528-13549. PMLR, (2023)S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces., , and . ICCV, page 3533-3545. IEEE, (2023)Single Image-Based Food Volume Estimation Using Monocular Depth-Prediction Networks., , , , and . HCI (9), volume 12189 of Lecture Notes in Computer Science, page 532-543. Springer, (2020)Learned representation-guided diffusion models for large-image generation., , , , , , and . CoRR, (2023)Diffusion Models as Plug-and-Play Priors., , , and . NeurIPS, (2022)PathLDM: Text conditioned Latent Diffusion Model for Histopathology., , , , , and . WACV, page 5170-5179. IEEE, (2024)Conditional Generation from Unconditional Diffusion Models using Denoiser Representations., , and . CoRR, (2023)PathLDM: Text conditioned Latent Diffusion Model for Histopathology., , , , , and . CoRR, (2023)Resolving label uncertainty with implicit posterior models., , , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1707-1717. PMLR, (2022)