most citedA Hybrid Two-level MCMC Framework to Accelerate Posterior Mean Estimation with Deep Learning Surrogates for Bayesian Inverse Problems

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction

Xingzhi Zhou, Xin Dong, Chunhao Li +8

Traditional Chinese medicine (TCM) has relied on specific combinations of herbs in prescriptions to treat various symptoms and signs for thousands of years. Predicting TCM prescrip…

math.NA2023★ 3 cited

A Hybrid Two-level MCMC Framework to Accelerate Posterior Mean Estimation with Deep Learning Surrogates for Bayesian Inverse Problems

Juntao Yang, Jeff Adie, Simon See +2

Bayesian inverse problems arise in various scientific and engineering domains, and solving them can be computationally demanding. This is especially the case for problems governed…