Tristan Bepler

16 papers A* 4B 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Understanding protein function with a multimodal retrieval-augmented foundation model. CoRR Timothy F. Truong Jr., Tristan Bepler
2023	A*	`conf`	PoET: A generative model of protein families as sequences-of-sequences. NeurIPS Timothy F. Truong Jr., Tristan Bepler
2023	J	`jnl`	PoET: A generative model of protein families as sequences-of-sequences. CoRR Timothy F. Truong Jr., Tristan Bepler
2022	J	`jnl`	Antibody Representation Learning for Drug Discovery. CoRR Lin Li, Esther Gupta, John Spaeth, Leslie Shing, Tristan Bepler, Rajmonda Sulo Caceres
2022	J	`jnl`	Few Shot Protein Generation. CoRR Soumya Ram, Tristan Bepler
2022	A*	`conf`	Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE. NeurIPS Alireza Nasiri, Tristan Bepler
2022	J	`jnl`	Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE. CoRR Alireza Nasiri, Tristan Bepler
2021	J	`jnl`	Learning to automate cryo-electron microscopy data collection with Ptolemy. CoRR Paul T. Kim, Alex J. Noble, Anchi Cheng, Tristan Bepler
2020	A*	`conf`	Reconstructing continuous distributions of 3D protein structure from cryo-EM images. ICLR Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger
2019	A*	`conf`	Explicitly disentangling image content from translation and rotation with spatial-VAE. NeurIPS Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger
2019	J	`jnl`	Explicitly disentangling image content from translation and rotation with spatial-VAE. CoRR Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger
2019	—	`conf`	Learning protein sequence embeddings using information from structure. ICLR (Poster) Tristan Bepler, Bonnie Berger
2019	J	`jnl`	Learning protein sequence embeddings using information from structure. CoRR Tristan Bepler, Bonnie Berger
2019	J	`jnl`	Reconstructing continuously heterogeneous structures from single particle cryo-EM with deep generative models. CoRR Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger
2018	B	`conf`	Positive-Unlabeled Convolutional Neural Networks for Particle Picking in Cryo-electron Micrographs. RECOMB Tristan Bepler, Andrew Morin, Alex J. Noble, Julia Brasch, Lawrence Shapiro, Bonnie Berger
2018	J	`jnl`	Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs. CoRR Tristan Bepler, Andrew Morin, Alex J. Noble, Julia Brasch, Lawrence Shapiro, Bonnie Berger