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 | 45* | 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 | 39 | 2023 |
Tractable density estimation on learned manifolds with conformal embedding flows B Ross, J Cresswell Advances in Neural Information Processing Systems 34, 26635-26648, 2021 | 39* | 2021 |
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 | 31 | 2022 |
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G Loaiza-Ganem, BL Ross, JC Cresswell, AL Caterini Transactions on Machine Learning Research, 2022 | 22 | 2022 |
Neural Implicit Manifold Learning for Topology-Aware Density Estimation BL Ross, G Loaiza-Ganem, AL Caterini, JC Cresswell Transactions on Machine Learning Research, 2023 | 9* | 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 | 9 | 2022 |
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 | 7 | 2023 |
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 | 3 | 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 | 3 | 2024 |
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 preprint arXiv:2406.03537, 2024 | 2 | 2024 |
A Geometric Framework for Understanding Memorization in Generative Models BL Ross, H Kamkari, Z Liu, T Wu, G Stein, G Loaiza-Ganem, JC Cresswell ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 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 |