Tristan Bepler

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Object Representation

Protein Families

Electron Microscopy

Generative Model

Top Venues

Publications

Timothy F. Truong Jr., Tristan Bepler
PoET: A generative model of protein families as sequences-of-sequences. CoRR (2023)
Timothy F. Truong Jr., Tristan Bepler
PoET: A generative model of protein families as sequences-of-sequences. NeurIPS (2023)
Soumya Ram, Tristan Bepler
Few Shot Protein Generation. CoRR (2022)
Alireza Nasiri, Tristan Bepler
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE. NeurIPS (2022)
Alireza Nasiri, Tristan Bepler
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE. CoRR (2022)
Lin Li, Esther Gupta, John Spaeth, Leslie Shing, Tristan Bepler, Rajmonda Sulo Caceres
Antibody Representation Learning for Drug Discovery. CoRR (2022)
Paul T. Kim, Alex J. Noble, Anchi Cheng, Tristan Bepler
Learning to automate cryo-electron microscopy data collection with Ptolemy. CoRR (2021)
Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger
Reconstructing continuous distributions of 3D protein structure from cryo-EM images. ICLR (2020)
Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger
Reconstructing continuously heterogeneous structures from single particle cryo-EM with deep generative models. CoRR (2019)
Tristan Bepler, Bonnie Berger
Learning protein sequence embeddings using information from structure. CoRR (2019)
Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger
Explicitly disentangling image content from translation and rotation with spatial-VAE. NeurIPS (2019)
Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger
Explicitly disentangling image content from translation and rotation with spatial-VAE. CoRR (2019)
Tristan Bepler, Bonnie Berger
Learning protein sequence embeddings using information from structure. ICLR (Poster) (2019)
Tristan Bepler, Andrew Morin, Alex J. Noble, Julia Brasch, Lawrence Shapiro, Bonnie Berger
Positive-Unlabeled Convolutional Neural Networks for Particle Picking in Cryo-electron Micrographs. RECOMB (2018)
Tristan Bepler, Andrew Morin, Alex J. Noble, Julia Brasch, Lawrence Shapiro, Bonnie Berger
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs. CoRR (2018)