| 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 | 61 | 2023 |
| 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 | 50* | 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 | 41* | 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 | 35* | 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 | 23 | 2022 |
| 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 | 11 | 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 | 10* | 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 Transactions on Machine Learning Research, 2024 | 8 | 2024 |
| 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 | 8 | 2023 |
| 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 | 7 | 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 | 6 | 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 | 3 | 2024 |
| CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation C Krause, MF Giannelli, G Kasieczka, B Nachman, D Salamani, D Shih, ... arXiv preprint arXiv:2410.21611, 2024 | 2 | 2024 |
| Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples N Vouitsis, R Hosseinzadeh, BL Ross, V Villecroze, SK Gorti, ... arXiv preprint arXiv:2411.08954, 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 |
