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LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
International Conference on Machine Learning (ICML), 2022
Papers citing "LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood"
17 / 17 papers shown
Title |
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 A Geometric Framework for Understanding Memorization in Generative ModelsInternational Conference on Learning Representations (ICLR), 2024 |
 On gauge freedom, conservativity and intrinsic dimensionality estimation
in diffusion modelsInternational Conference on Learning Representations (ICLR), 2024 |
 A survey of manifold learning and its applications for multimediaInternational Journal of Signal Processing Systems (IJSPS), 2023 |
 One-Line-of-Code Data Mollification Improves Optimization of
Likelihood-based Generative ModelsNeural Information Processing Systems (NeurIPS), 2023 |
 Impact of dataset size and long-term ECoG-based BCI usage on deep
learning decoders performanceFrontiers in Human Neuroscience (Front Hum Neurosci), 2022 |
 Verifying the Union of Manifolds Hypothesis for Image DataInternational Conference on Learning Representations (ICLR), 2022 |
