| Order-based Structure Learning with Normalizing Flows H Kamkari, V Zehtab, V Balazadeh, RG Krishnan arXiv preprint arXiv:2308.07480, 2023 | 4* | 2023 |
| 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 | 1 | 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 | | 2024 |
| Physarum Inspired Dynamics to Solve Semi-Definite Programs MS Yuan Gao, Hamidreza Kamkari, Andreas Karrenbauer, Kurt Mehlhorn arXiv preprint arXiv:2111.02291, 2021 | | 2021 |
| 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 …, 0 | | |
| Scalable Local Intrinsic Dimension Estimation with Diffusion Models H Kamkari, BL Ross, R Hosseinzadeh, JC Cresswell, G Loaiza-Ganem ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 0 | | |
| Explaining the Out-of-Distribution Detection Paradox through Likelihood Peaks H Kamkari, BL Ross, JC Cresswell, AL Caterini, RG Krishnan, ... | | |
Rahul G. KrishnanUniversity of Toronto在 cs.toronto.edu 的电子邮件经过验证
