Bepler, Tristan

9 publications

ICLRW 2025 A Latent Back-Projection Network for Novel Projection Synthesis for Improved Cryo-ET Robert Kiewisz, Gabriel Meyer-Lee, Tristan Bepler

ICLRW 2025 Learning to Predict Ensembles of Protein Conformations from Molecular Dynamics Simulation Trajectories Bongjin Koo, Patrick Jiang, Soumya Dutta, I. Can Kazan, S. Banu Ozkan, Paul T Kim, Abhishek Singharoy, Tristan Bepler

NeurIPS 2025 Understanding Protein Function with a Multimodal Retrieval-Augmented Foundation Model Timothy Fei Truong Jr, Tristan Bepler

NeurIPS 2023 PoET: A Generative Model of Protein Families as Sequences-of-Sequences Timothy Truong Jr, Tristan Bepler

NeurIPSW 2023 SO(3)-Equivariant Representation Learning in 2D Images Darnell Granberry, Alireza Nasiri, Jiayi Shou, Alex J Noble, Tristan Bepler

NeurIPS 2022 Unsupervised Object Representation Learning Using Translation and Rotation Group Equivariant VAE Alireza Nasiri, Tristan Bepler

ICLR 2020 Reconstructing Continuous Distributions of 3D Protein Structure from Cryo-EM Images Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger

NeurIPS 2019 Explicitly Disentangling Image Content from Translation and Rotation with Spatial-VAE Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger

ICLR 2019 Learning Protein Sequence Embeddings Using Information from Structure Tristan Bepler, Bonnie Berger