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Paper: https://arxiv.org/abs/1312.6114
Example implementations (non-official): https://github.com/clementchadebec/benchmark_VAE
osbm updated
11 months ago
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Hello there,
_I'm not sure if this is a proper place to ask such a question - if not, please guide me to a place where I can find some help._
Is it possible now to implement Variational Autoencod…
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The code below is causing an error. There seems to be a problem with batch_size.
vae.fit(x=x_train, y=None,
shuffle=True,
epochs=10,
batch_size=batch_size,
valid…
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
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### Issue Description
I tried to run the Variational Autoencoders tutorial [here](https://pyro.ai/examples/vae.html) and it returns an error
### Environment
Both on my machine (Macbook Pro 2019 C…
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## 一言でいうと
VAEを学習するとき、潜在表現zが無視され事前分布と事後分布を一致させる方向に学習が行われてしまうことがある(KL collapse)。これを解消するために、正規分布の代わりにVon Mises–Fisher分布(球面上の分布)を導入。KL距離からパラメーター要素(μ,σ)を除去することで、学習による一致を防いでいる
![image](https://user-im…
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Need a background on variational autoencoders.
Suggestions:
- Black box variational inference for state space models (http://arxiv.org/abs/1511.07367).
- Possibly a better explanation.
- Stochastic …
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None of these are necessary, I'm just listing them to keep track of all the possible small-ish changes that might improve performance or reduce the need for resources:
Normalizations:
- [ ] [Bat…
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I have tried running this line of code in the Variational Autoencoders markdown.
> history = vae.fit(X_train, X_train,shuffle=True, epochs=epochs, batch_size=batch_size, validation_data=(X_test, X_…