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### Source / repo
https://github.com/StanfordMIMI/CompRx
### Model description
Medical images are often acquired at high resolutions (>1 megapixel) in order to capture fine-grained details necessary …
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I am trying to implement LDA with Variational Bayes. Is it possible to do it using Elbow?
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Many thanks for this great repo! Is there a possibility to find the non-equilibrium steady state using a variational approach? For [reference](https://arxiv.org/abs/1501.06786)
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Train a basic non-convex variational autoencoder. Once it is trained, remove the basic decoder, keep the encoder, and retrain the decoder using a vNN
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Paper: https://arxiv.org/abs/1312.6114
Example implementations (non-official): https://github.com/clementchadebec/benchmark_VAE
osbm updated
12 months ago
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Hi!
I tried to use Sciann for variational PINN but without success. I tried to copy the example in the article (it seems to me that no example can be found on the Github). I first generated the gri…
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I'm doing open dynamics simulations with the density matrix represented as vectorized MPO as described in this [publication](https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.220601). The…
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Dear authors,
Thanks for the excellent work! About VQVAE for embedding image to latent, you have provided the pre-trained model. Could you please share the training and testing code and instruction f…
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One of the tests for the inside_outside method is `test_sample_as_parent_fails`. Can we actually date samples that have descendant undated nodes using the current `variational_gamma` implementation, o…