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Daniel G Edelberg

1 paper hereh-index 29 citations2 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • stat.ML1

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most citedUsing VAEs to Learn Latent Variables: Observations on Applications in cryo-EM

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ML2023★ 5 cited

Using VAEs to Learn Latent Variables: Observations on Applications in cryo-EM

Daniel G. Edelberg, Roy R. Lederman

Variational autoencoders (VAEs) are a popular generative model used to approximate distributions. The encoder part of the VAE is used in amortized learning of latent variables, pro…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.