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Anthony L. Caterini

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Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Jun 07, 2023
George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem

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Denoising Deep Generative Models

Dec 05, 2022
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini

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CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds

Nov 23, 2022
Jesse C. Cresswell, Brendan Leigh Ross, Gabriel Loaiza-Ganem, Humberto Reyes-Gonzalez, Marco Letizia, Anthony L. Caterini

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Relating Regularization and Generalization through the Intrinsic Dimension of Activations

Nov 23, 2022
Bradley C. A. Brown, Jordan Juravsky, Anthony L. Caterini, Gabriel Loaiza-Ganem

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The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling

Jul 06, 2022
Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem

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Neural Implicit Manifold Learning for Topology-Aware Generative Modelling

Jun 22, 2022
Brendan Leigh Ross, Gabriel Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell

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Diagnosing and Fixing Manifold Overfitting in Deep Generative Models

Apr 14, 2022
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini

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Entropic Issues in Likelihood-Based OOD Detection

Sep 22, 2021
Anthony L. Caterini, Gabriel Loaiza-Ganem

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Rectangular Flows for Manifold Learning

Jun 02, 2021
Anthony L. Caterini, Gabriel Loaiza-Ganem, Geoff Pleiss, John P. Cunningham

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