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06/30/2023
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Diffusion models have been successful on a range of conditional generati...
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02/05/2023
SE(3) diffusion model with application to protein backbone generation
The design of novel protein structures remains a challenge in protein en...
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06/08/2022
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
Construction of a scaffold structure that supports a desired motif, conf...
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02/23/2022
Many processors, little time: MCMC for partitions via optimal transport couplings
Markov chain Monte Carlo (MCMC) methods are often used in clustering sin...
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07/13/2021
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
Hierarchical Bayesian methods enable information sharing across multiple...
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04/09/2021
Optimal transport couplings of Gibbs samplers on partitions for unbiased estimation
Computational couplings of Markov chains provide a practical route to un...
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02/19/2021
Confidently Comparing Estimators with the c-value
Modern statistics provides an ever-expanding toolkit for estimating unkn...
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05/17/2019
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations
Due to the ease of modern data collection, applied statisticians often h...
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02/14/2018