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Similarity scores released for How do Variational Autoencoders Learn? Insights from Representational Similarity

Bonheme, L. and Grzes, M. (2022) Similarity scores released for How do Variational Autoencoders Learn? Insights from Representational Similarity. [Data Collection]

Description

This repository contains more than 45 million of similarity scores used in "How do Variational Autoencoders Learn? Insights from Representational Similarity".

Uncontrolled keywords: VAE; representational similarity; representation learning; deep learning; variational autoencoders
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
DOI: 10.22024/UniKent/01.01.444
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Lisa Bonheme
Collection period:
From
To
1 December 2021
20 May 2022
Last Modified: 06 Jul 2022 14:14
Publication Date: 6 July 2022
URI: https://data.kent.ac.uk/id/eprint/444

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