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Brian L Trippe
Brian L Trippe
Assistant Professor of Statistics, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
De novo design of protein structure and function with RFdiffusion
JL Watson, D Juergens, NR Bennett, BL Trippe, J Yim, HE Eisenach, ...
Nature 620 (7976), 1089-1100, 2023
869*2023
Diffusion probabilistic modeling of protein backbones in 3d for the motif-scaffolding problem
BL Trippe, J Yim, D Tischer, D Baker, T Broderick, R Barzilay, T Jaakkola
arXiv preprint arXiv:2206.04119, 2022
2182022
Leveraging polygenic enrichments of gene features to predict genes underlying complex traits and diseases
EM Weeks, JC Ulirsch, NY Cheng, BL Trippe, RS Fine, J Miao, ...
Nature genetics 55 (8), 1267-1276, 2023
1712023
SE (3) diffusion model with application to protein backbone generation
J Yim, BL Trippe, V De Bortoli, E Mathieu, A Doucet, R Barzilay, ...
arXiv preprint arXiv:2302.02277, 2023
1502023
Conditional density estimation with bayesian normalising flows
BL Trippe, RE Turner
arXiv preprint arXiv:1802.04908, 2018
752018
Overpruning in variational bayesian neural networks
B Trippe, R Turner
arXiv preprint arXiv:1801.06230, 2018
532018
Practical and asymptotically exact conditional sampling in diffusion models
L Wu, B Trippe, C Naesseth, D Blei, JP Cunningham
Advances in Neural Information Processing Systems 36, 2024
352024
The kernel interaction trick: Fast Bayesian discovery of pairwise interactions in high dimensions
R Agrawal, B Trippe, J Huggins, T Broderick
International Conference on Machine Learning, 141-150, 2019
292019
Many processors, little time: MCMC for partitions via optimal transport couplings
TD Nguyen, BL Trippe, T Broderick
International Conference on Artificial Intelligence and Statistics, 3483-3514, 2022
16*2022
LR-GLM: High-dimensional Bayesian inference using low-rank data approximations
B Trippe, J Huggins, R Agrawal, T Broderick
International conference on machine learning, 6315-6324, 2019
142019
Randomized gates eliminate bias in sort‐seq assays
BL Trippe, B Huang, EA DeBenedictis, B Coventry, N Bhattacharya, ...
Protein Science 31 (9), e4401, 2022
102022
Inhibition of cell fate repressors secures the differentiation of the touch receptor neurons of Caenorhabditis elegans
C Zheng, FQ Jin, BL Trippe, J Wu, M Chalfie
Development 145 (22), dev168096, 2018
102018
Gaussian processes at the Helm (holtz): A more fluid model for ocean currents
R Berlinghieri, BL Trippe, DR Burt, R Giordano, K Srinivasan, ...
arXiv preprint arXiv:2302.10364, 2023
92023
Neural network for processing aptamer data
MTH Dimon, M Berndl, MA Coram, B Trippe, PF Riley, PC Nelson
US Patent 10,546,650, 2020
72020
Practical and asymptotically exact conditional sampling in diffusion models
BL Trippe, L Wu, CA Naesseth, D Blei, JP Cunningham
ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023
32023
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
B Trippe, H Finucane, T Broderick
Advances in Neural Information Processing Systems 34, 13471-13484, 2021
32021
Confidently Comparing Estimates with the c-value
BL Trippe, SK Deshpande, T Broderick
Journal of the American Statistical Association 119 (546), 983-994, 2024
22024
K-mer Motif Multinomial Mixtures, a scalable framework for multiple motif discovery
BL Trippe, S Prabhakaran, HJ Bussemaker
bioRxiv, 096735, 2016
12016
Neural network for processing aptamer data
MTH Dimon, M Berndl, MA Coram, B Trippe, PF Riley, PC Nelson
US Patent App. 18/307,748, 2024
2024
Twisted Diffusion Sampling for Accurate Conditional Generation, with Application to Protein Design
BL Trippe
2023
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