Intrinsic Dimension Estimations released for Fondue: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders
Bonheme, L. and Grzes, M. (2022) Intrinsic Dimension Estimations released for Fondue: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders. [Data Collection]
Description
This repository contains more than 35,000 intrinsic dimension estimations used in "Fondue: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders".
| Uncontrolled keywords: | vae, ide, deep learning, topology, autoencoder | ||
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| Subjects: | Q Science > Q Science (General) > Q335 Artificial intelligence Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks |
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| DOI: | 10.22024/UniKent/01.01.455 | ||
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Engineering | ||
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
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| Depositing User: | Lisa Bonheme | ||
| Collection period: | From To May 2022 August 2022 |
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| Last Modified: | 03 Jun 2025 08:38 | ||
| Publication Date: | 31 August 2022 | ||
| URI: | https://data.kent.ac.uk/id/eprint/455 | ||
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https://orcid.org/0000-0002-9166-3971
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