1.9k citations · 2.2k across the 4 of their papers we have counts for
4 papers
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.…
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…
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…
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs
Tristan Bepler, Andrew Morin, Julia Brasch +3
Cryo-electron microscopy (cryoEM) is an increasingly popular method for protein structure determination. However, identifying a sufficient number of particles for analysis (often >…