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Brendan Leigh Ross
Brendan Leigh Ross
Layer 6 AI
Verified email at layer6.ai
Title
Cited by
Cited by
Year
Tractable density estimation on learned manifolds with conformal embedding flows
B Ross, J Cresswell
Advances in Neural Information Processing Systems 34, 26635-26648, 2021
38*2021
Verifying the union of manifolds hypothesis for image data
BCA Brown, AL Caterini, BL Ross, JC Cresswell, G Loaiza-Ganem
International Conference on Learning Representations, 2023
36*2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
G Stein, JC Cresswell, R Hosseinzadeh, Y Sui, BL Ross, V Villecroze, ...
Advances in Neural Information Processing Systems 36, 2023
302023
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
JC Cresswell, BL Ross, G Loaiza-Ganem, H Reyes-Gonzalez, M Letizia, ...
arXiv preprint arXiv:2211.15380, 2022
252022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
G Loaiza-Ganem, BL Ross, JC Cresswell, AL Caterini
Transactions on Machine Learning Research, 2022
182022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation
BL Ross, G Loaiza-Ganem, AL Caterini, JC Cresswell
Transactions on Machine Learning Research, 2023
8*2023
Find your friends: Personalized federated learning with the right collaborators
Y Sui, J Wen, Y Lau, BL Ross, JC Cresswell
arXiv preprint arXiv:2210.06597, 2022
62022
Denoising deep generative models
G Loaiza-Ganem, BL Ross, L Wu, JP Cunningham, JC Cresswell, ...
NeurIPS 2022 Workshop: I Can’t Believe It’s Not Better, 41-50, 2023
52023
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections
G Loaiza-Ganem, BL Ross, R Hosseinzadeh, AL Caterini, JC Cresswell
arXiv preprint arXiv:2404.02954, 2024
12024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
H Kamkari, BL Ross, R Hosseinzadeh, JC Cresswell, G Loaiza-Ganem
arXiv e-prints, arXiv: 2406.03537, 2024
2024
A Geometric Explanation of the Likelihood OOD Detection Paradox
H Kamkari, BL Ross, JC Cresswell, AL Caterini, RG Krishnan, ...
arXiv preprint arXiv:2403.18910, 2024
2024
Distributed model training with collaboration weights for private data sets
JC Cresswell, BL Ross, KHY Lau, J Wen, Y Sui
US Patent App. 18/202,459, 2023
2023
Learned density estimation with implicit manifolds
JC Cresswell, BL Ross, AL Caterini, GL Ganem
US Patent App. 18/202,450, 2023
2023
Modeling disjoint manifolds
JC Cresswell, BL Ross, AL Caterini, GL Ganem, BCA Brown
US Patent App. 18/202,455, 2023
2023
Correcting manifold overfitting of probabilistic models
GL Ganem, BL Ross, JC Cresswell, AL Caterini
US Patent App. 18/083,345, 2023
2023
Low-dimensional probabilistic density of high-dimensional data manifold
BL Ross, JC Cresswell
US Patent App. 17/735,884, 2023
2023
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