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Efficient Learning of Generative Models via Finite-Difference Score Matching., , , , , and . CoRR, (2020)Triple Generative Adversarial Networks., , , , and . CoRR, (2019)CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model., , , , , , , , and . CoRR, (2024)Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training., , , , , , and . CoRR, (2023)Collaborative Filtering With User-Item Co-Autoregressive Models., , , , and . AAAI, page 2175-2182. AAAI Press, (2018)Learning Implicit Generative Models by Teaching Density Estimators., , , , and . ECML/PKDD (2), volume 12458 of Lecture Notes in Computer Science, page 239-255. Springer, (2020)Revisiting Discriminative vs. Generative Classifiers: Theory and Implications., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 42420-42477. PMLR, (2023)Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models., , , and . ICLR, OpenReview.net, (2022)Bi-level Score Matching for Learning Energy-based Latent Variable Models., , , , , and . NeurIPS, (2020)Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 651-661. PMLR, (2021)