Record · danmackinlay.name

Variational autoencoders – The Dan MacKinlay stable of variably-well-consider’d enterprises

Dan MacKinlay · 1 October 2026 · 5 min read

A post on danmackinlay.name, published 1 October 2026, has not been cited by any blog yet (corpus.blog, measured 12 October 2026).

A record is what was published and who pointed at it. The text of the post is not shown here: read it at the source, or at its Wayback capture.

Read at danmackinlay.name Wayback capture

0blogs citing

Citing blogs and links by period
Period	Blogs	Links
All time	0	0
Last 90 days	0	0
Last 30 days	0	0
Last 7 days	0	0

Figures for this page
Words blogs link it with	0
External links	53
Length	1,098

Cited by

No blog we hold has cited this post yet.

Links from this post

Link

Host

Tutorial - What is a variational autoencoder? Read at jaan.io

jaan.io

http://akosiorek.github.io/ml/2018/03/14/what_is_wrong_with_vaes.html?ref=danmackinlay.name

akosiorek.github.io

https://dustintran.com/blog/denoising-criterion-for-variational-auto-encoding-framework/

dustintran.com

https://arxiv.org/abs/2011.10650 Who cites this page

arxiv.org

https://machinethoughts.wordpress.com/2020/12/02/encoder-autonomy/?ref=danmackinlay.name

machinethoughts.wordpress.com

http://arxiv.org/abs/1611.07800

arxiv.org

http://arxiv.org/abs/1805.11284

arxiv.org

http://proceedings.mlr.press/v70/arjovsky17a.html

proceedings.mlr.press

https://arxiv.org/abs/1703.03208 Who cites this page

arxiv.org

https://arxiv.org/abs/1511.06349?ref=seongminpark.com Who cites this page

arxiv.org

https://doi.org/10.48550/arXiv.2408.01362

doi.org

https://arxiv.org/abs/1509.00519 Who cites this page

arxiv.org

http://arxiv.org/abs/1805.11328

arxiv.org

https://arxiv.org/abs/1611.02731 Who cites this page

arxiv.org

http://papers.nips.cc/paper/7892-neural-ordinary-differential-equations.pdf

papers.nips.cc

http://papers.nips.cc/paper/5653-a-recurrent-latent-variable-model-for-sequential-data.pdf

papers.nips.cc

http://arxiv.org/abs/1801.03558

arxiv.org

http://proceedings.mlr.press/v70/cutajar17a.html

proceedings.mlr.press

http://arxiv.org/abs/1904.01681

arxiv.org

http://arxiv.org/abs/1412.6581

arxiv.org

https://arxiv.org/abs/1807.01622v1

arxiv.org

http://arxiv.org/abs/1810.04066

arxiv.org

http://approximateinference.org/accepted/HoffmanJohnson2016.pdf Who cites this page

approximateinference.org

http://arxiv.org/abs/1804.00779

arxiv.org

https://proceedings.neurips.cc/paper/2019/hash/eae27d77ca20db309e056e3d2dcd7d69-Abstract.html

proceedings.neurips.cc

http://arxiv.org/abs/1706.00550

arxiv.org

http://arxiv.org/abs/1802.02550

arxiv.org

http://papers.nips.cc/paper/8224-glow-generative-flow-with-invertible-1x1-convolutions.pdf

papers.nips.cc

https://arxiv.org/abs/1606.04934 Who cites this page

arxiv.org

http://arxiv.org/abs/1506.02557

arxiv.org

https://arxiv.org/abs/1312.6114 Who cites this page

arxiv.org

https://doi.org/10.1561/2200000056

doi.org

http://jmlr.org/papers/v21/19-560.html

jmlr.org

https://arxiv.org/abs/1512.09300 Who cites this page

arxiv.org

https://arxiv.org/abs/1702.07028 Who cites this page

arxiv.org

https://doi.org/10.1145/3178876.3186150

doi.org

http://papers.nips.cc/paper/7223-causal-effect-inference-with-deep-latent-variable-models.pdf

papers.nips.cc

http://arxiv.org/abs/1906.08152

arxiv.org

http://arxiv.org/abs/1812.02833

arxiv.org

http://arxiv.org/abs/1910.08527

arxiv.org

http://arxiv.org/abs/1911.07420

arxiv.org

http://papers.nips.cc/paper/6828-masked-autoregressive-flow-for-density-estimation.pdf

papers.nips.cc

https://doi.org/10.1145/3269206.3269267

doi.org

https://arxiv.org/abs/1505.05770 Who cites this page

arxiv.org

http://arxiv.org/abs/1610.02287

arxiv.org

https://proceedings.mlr.press/v37/salimans15.html

proceedings.mlr.press

http://arxiv.org/abs/1703.06131

arxiv.org

http://arxiv.org/abs/2006.15641

arxiv.org

http://arxiv.org/abs/1511.06499

arxiv.org

http://arxiv.org/abs/1809.10756

arxiv.org

http://arxiv.org/abs/1803.05649

arxiv.org

https://doi.org/10.18653/v1/N19-1025

doi.org

https://doi.org/10.1109/CVPR46437.2021.00947

doi.org

Elsewhere on danmackinlay.name (4)

Variational inference – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Probabilistic neural nets – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Reparameterization methods for MC gradient estimation – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Generative adversarial networks – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Variational autoencoders – The Dan MacKinlay stable of variably-well-consider’d enterprises

Cited by

Links from this post

Similar posts