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Hablando con Juliana me dijo que el Autoencoder tiene que ser simétrico, con lo cual la última sigmoidea en la parte del decoder estaría demás:
https://github.com/biancabalzarini/despeckling/blob/e1d…
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This feature aims to enhance the current genome encoding model by integrating an **autoencoder** to compress and encode neural network weights into a latent vector. The autoencoder will replace the di…
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I thought about overfitting an autoencoder per wav file. Do you think it makes sense? What I say is, train a very small model to predict the whole signal. Then, compute the error. Now you just need to…
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In the readme document [Denoising AutoEncoder](https://www.kaggle.com/code/faisalalsrheed/denoising-autoencoders-dae-for-tabular-data) is broken. Request a fix
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**Is your feature request related to a problem? Please describe.**
No.
**Describe the solution you'd like.**
As the paper stated, DCAE can achieve awesome results using lower latent dimensions. …
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Hi!
Could you put which autoencoding models correspond to which LDMs on the table, please?
Maybe I am missing this information somewhere, but it seems it's not clear which one is for which.
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p13.
Because it is Encoder, I think "What if we expand the input size?" should be "What if we squeeze the input size?".
 is designed for RGB images. However, I am currently working with gray-scal…
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> Copy/paste autoencoder_kl.py and vae.py in your environment (f.i. /home/user/miniconda3/envs/pixelsmith/lib/python3.11/site-packages/diffusers/models/autoencoders/)
concepts such as this should b…
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Is VAE(with KL loss) necessary? Could I use Autoencoder as the encoder and decoder of MAR?
Thank you very much!