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

428 25 1565 3 4595 document 1565 dip_vae_ii.zip application/zip b50100f7b4dcdc3f1d0c93e6c859f583 MD5 21406099130 2022-05-04 14:55:19 https://data.kent.ac.uk/428/1/dip_vae_ii.zip 428 1 1 application/zip archive Pre-trained dip-VAE-ii models trained on cars3d, smallnorb, and dsprites with lambda values 1, 2, 5, 10, 20 en public cc_by_4

dip_vae_ii.zip

data 1566 3 4597 document 1566 beta_vae.zip application/zip f4c4274f9d2f61cdc6d8a14c5cb77ebb MD5 21358824136 2022-05-04 15:00:55 https://data.kent.ac.uk/428/2/beta_vae.zip 428 2 2 application/zip archive The beta VAE models trained on cars3d, smallnorb, and dsprites with beta values 1,2,4,6,8 en public cc_by_4

beta_vae.zip

data 1567 3 4601 document 1567 beta_tc_vae.zip application/zip 816f69c200c7f08b0e9306b39f8b4999 MD5 21360909861 2022-05-04 16:43:19 https://data.kent.ac.uk/428/3/beta_tc_vae.zip 428 3 3 application/zip archive Pre-trained beta TC-VAE models trained on cars3d, smallnorb, and dsprites with beta values 1, 2, 4, 6, 8 en public cc_by_4

beta_tc_vae.zip

data 1568 2 4603 document 1568 annealed_vae.zip application/zip 0a2c71e2197f7307eb83429fc4d781ac MD5 20259916840 2022-05-04 16:56:46 https://data.kent.ac.uk/428/4/annealed_vae.zip 428 4 4 application/zip archive Pre-trained Annealed-VAE models trained on cars3d, smallnorb, and dsprites with c_max values 5, 10, 20, 50, 75 en public cc_by_4

annealed_vae.zip

data 1569 2 4605 document 1569 README.txt text/plain b8c0e33545d85db8e3a8a91cb8a4b3ca MD5 470 2022-05-04 17:10:07 https://data.kent.ac.uk/428/5/README.txt 428 5 5 text/plain text en public gnu_notice

README.txt

readme 1570 1 4608 document 1570 indexcodes.txt text/plain 23d10b2e7009b76fafce33350caf3d59 MD5 286 2022-05-04 17:12:47 https://data.kent.ac.uk/428/6/indexcodes.txt 428 6 6 text/plain other Generate index codes conversion from text to indexcodes en public cc_by_4

indexcodes.txt

data http://eprints.org/relation/isVersionOf https://data.kent.ac.uk/id/document/1569 http://eprints.org/relation/isVolatileVersionOf https://data.kent.ac.uk/id/document/1569 http://eprints.org/relation/isIndexCodesVersionOf https://data.kent.ac.uk/id/document/1569 archive 5484 disk0/00/00/04/28 2022-05-06 09:12:19 2025-06-03 08:38:12 2022-05-06 09:12:19 data_collection show lisa.bonheme@gmail.com Bonheme L. lb732@kent.ac.uk 0000-0002-9166-3971 Grzes M. m.grzes@kent.ac.uk 0000-0003-4901-1539 Models released for How do Variational Autoencoders Learn? Insights from Representational Similarity Q335 QA76.87 47000 public VAE; representational similarity; representation learning; deep learning; variational autoencoders This repository contains the 300 VAE models saved at different epochs for "How do Variational Autoencoders Learn? Insights from Representational Similarity". 2022-05-01 software pub 2022-05-06 TRUE 2022-05-06 2025-06-03 13100 School of Computing English 2021-12-01 2022-05-20 10.22024/UniKent/01.01.428