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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
30*2021
Verifying the union of manifolds hypothesis for image data
BCA Brown, AL Caterini, BL Ross, JC Cresswell, G Loaiza-Ganem
The Eleventh International Conference on Learning Representations, 2022
11*2022
Diagnosing and fixing manifold overfitting in deep generative models
G Loaiza-Ganem, BL Ross, JC Cresswell, AL Caterini
arXiv preprint arXiv:2204.07172, 2022
112022
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
72022
Neural implicit manifold learning for topology-aware generative modelling
BL Ross, G Loaiza-Ganem, AL Caterini, JC Cresswell
arXiv preprint arXiv:2206.11267, 2022
52022
Denoising Deep Generative Models
G Loaiza-Ganem, BL Ross, L Wu, JP Cunningham, JC Cresswell, ...
Proceedings on, 41-50, 2023
32023
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, ...
arXiv preprint arXiv:2306.04675, 2023
2023
Low-dimensional probabilistic density of high-dimensional data manifold
BL Ross, JC Cresswell
US Patent App. 17/735,884, 2023
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
2022
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Articles 1–9