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That is a very interesting and challenging topic to think about. 😊
A multi-dimensional latent space is an abstract space that encodes a meaningful internal representation of externally observed eve…
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I am trying to reproduce figure 1 from the paper:
I've found the code in` fig:latent-rotation/visualize.ipynb` and am attempting to get it to work. IIUC - it appears to assume that pre-baked mo…
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Hi all,
I am training a Vanilla VAE on a custom data set and interested in projecting the constructed latent space. Any suggestion on how to do so?
Thanks!
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Hello, can you elucidate how the posted ckpt was trained?
Is it trained with imagenet in latent space, and then linearly tuned with BAPPS?
Or maybe one of the two has been skipped?
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Show interpretability by showing ability to do linear algebra in the latent space.
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Hi,
I have been using UMAP for cluster visualization for long time now. I would like now to build continuous trajectories using UMAP (what I am trying to represent are words). I have seen this done…
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since the clustering approach is not working, consider
- figuring out why it's not working
- what can we do with the latent representation
in either case, we need to analyze the latent space. di…
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Enable the user to provide a latent representation within anndata.obsm for clustering. If latent rep. is provided also ignore PCA computation steps in `onestep_clust`.
Code updates can be found at…
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Have you noticed that the latent space is actually just a 4x4 image representation of the same image, each of these small images are 16x16 pixel size? And this is layered into 4 channels. So in that s…
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Hello,
I am wondering about the autoencoder, especially the embedder that transforms the data into the latent space.
If I understood it correctly, the embedders task is to compress the dimension…