Brendan Leigh Ross

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Diffusion Models

Evaluation Metrics

Density Estimation

Top Venues

Trans. Mach. Learn. Res.

Publications

Gabriel Loaiza-Ganem, Brendan Leigh Ross, Rasa Hosseinzadeh, Anthony L. Caterini, Jesse C. Cresswell
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections. CoRR (2024)
Brendan Leigh Ross, Gabriel Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell
Neural Implicit Manifold Learning for Topology-Aware Density Estimation. Trans. Mach. Learn. Res. 2024 (2024)
Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models. CoRR (2024)
Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul G. Krishnan, Gabriel Loaiza-Ganem
A Geometric Explanation of the Likelihood OOD Detection Paradox. CoRR (2024)
Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem
Verifying the Union of Manifolds Hypothesis for Image Data. ICLR (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
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. NeurIPS (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
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. CoRR (2023)
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models. CoRR (2022)
Brendan Leigh Ross, Gabriel Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell
Neural Implicit Manifold Learning for Topology-Aware Generative Modelling. CoRR (2022)
Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross, Jesse C. Cresswell
Find Your Friends: Personalized Federated Learning with the Right Collaborators. CoRR (2022)
Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem
The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling. CoRR (2022)
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini
Denoising Deep Generative Models. CoRR (2022)
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini
Denoising Deep Generative Models. ICBINB (2022)
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models. Trans. Mach. Learn. Res. 2022 (2022)
Jesse C. Cresswell, Brendan Leigh Ross, Gabriel Loaiza-Ganem, Humberto Reyes-González, Marco Letizia, Anthony L. Caterini
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds. CoRR (2022)
Brendan Leigh Ross, Jesse C. Cresswell
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows. NeurIPS (2021)
Brendan Leigh Ross, Jesse C. Cresswell
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows. CoRR (2021)