34 citations · 34 across the 1 of their papers we have counts for
3 papers
cs.CV2019★ 34 cited
Explicitly disentangling image content from translation and rotation with spatial-VAE
Tristan Bepler, Ellen D. Zhong, Kotaro Kelley +2
Given an image dataset, we are often interested in finding data generative factors that encode semantic content independently from pose variables such as rotation and translation.…
q-bio.QM2019
Reconstructing continuous distributions of 3D protein structure from cryo-EM images
Ellen D. Zhong, Tristan Bepler, Joseph H. Davis +1
Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the structure of proteins and other macromolecular complexes at near-atomic resolution. In single particl…
cs.LG2019
Learning protein sequence embeddings using information from structure
Tristan Bepler, Bonnie Berger
Inferring the structural properties of a protein from its amino acid sequence is a challenging yet important problem in biology. Structures are not known for the vast majority of p…