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Neural Implicit Manifold Learning for Topology-Aware Generative Modelling., , , and . CoRR, (2022)The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling., , , , and . CoRR, (2022)Denoising Deep Generative Models., , , , , and . ICBINB, volume 187 of Proceedings of Machine Learning Research, page 41-50. PMLR, (2022)Verifying the Union of Manifolds Hypothesis for Image Data., , , , and . ICLR, OpenReview.net, (2023)A Geometric Explanation of the Likelihood OOD Detection Paradox., , , , , and . CoRR, (2024)Find Your Friends: Personalized Federated Learning with the Right Collaborators., , , , and . CoRR, (2022)Diagnosing and Fixing Manifold Overfitting in Deep Generative Models., , , and . CoRR, (2022)Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models., , , , , , , , , and . CoRR, (2023)CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds., , , , , and . CoRR, (2022)Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows., and . NeurIPS, page 26635-26648. (2021)