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A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model.

, , , и . ICLR, OpenReview.net, (2022)

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Ming Zhu

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Xiaolong Zhu

 

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Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation., , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 4164-4180. PMLR, (2023)A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model., , , и . ICLR, OpenReview.net, (2022)Energy-Based Model and its Applications. University of California, Los Angeles, USA, (2024)Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis., , , , и . CVPR, стр. 9959-9968. Computer Vision Foundation / IEEE, (2021)A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference., , , , и . AAAI, стр. 10499-10509. AAAI Press, (2023)Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching., , , , , , и . CoRR, (2024)Learning Energy-Based Prior Model with Diffusion-Amortized MCMC., , , , , , и . CoRR, (2023)Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood., , , и . ICLR, OpenReview.net, (2024)Think Twice Before You Act: Improving Inverse Problem Solving With MCMC., , , , , и . CoRR, (2024)