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Tristan Bepler
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2020 – today
- 2023
- [c6]Timothy F. Truong Jr., Tristan Bepler:
PoET: A generative model of protein families as sequences-of-sequences. NeurIPS 2023 - [i9]Timothy F. Truong Jr., Tristan Bepler:
PoET: A generative model of protein families as sequences-of-sequences. CoRR abs/2306.06156 (2023) - 2022
- [c5]Alireza Nasiri, Tristan Bepler:
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE. NeurIPS 2022 - [i8]Soumya Ram, Tristan Bepler:
Few Shot Protein Generation. CoRR abs/2204.01168 (2022) - [i7]Lin Li, Esther Gupta, John Spaeth, Leslie Shing, Tristan Bepler, Rajmonda Sulo Caceres:
Antibody Representation Learning for Drug Discovery. CoRR abs/2210.02881 (2022) - [i6]Alireza Nasiri, Tristan Bepler:
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE. CoRR abs/2210.12918 (2022) - 2021
- [i5]Paul T. Kim, Alex J. Noble, Anchi Cheng, Tristan Bepler:
Learning to automate cryo-electron microscopy data collection with Ptolemy. CoRR abs/2112.01534 (2021) - 2020
- [c4]Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger:
Reconstructing continuous distributions of 3D protein structure from cryo-EM images. ICLR 2020
2010 – 2019
- 2019
- [c3]Tristan Bepler, Bonnie Berger:
Learning protein sequence embeddings using information from structure. ICLR (Poster) 2019 - [c2]Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger:
Explicitly disentangling image content from translation and rotation with spatial-VAE. NeurIPS 2019: 15409-15419 - [i4]Tristan Bepler, Bonnie Berger:
Learning protein sequence embeddings using information from structure. CoRR abs/1902.08661 (2019) - [i3]Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger:
Reconstructing continuously heterogeneous structures from single particle cryo-EM with deep generative models. CoRR abs/1909.05215 (2019) - [i2]Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger:
Explicitly disentangling image content from translation and rotation with spatial-VAE. CoRR abs/1909.11663 (2019) - 2018
- [c1]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: 245-247 - [i1]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 abs/1803.08207 (2018)
Coauthor Index
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