10 citations · 13 across the 2 of their papers we have counts for
2 papers
q-bio.QM2024★ 10 cited
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein
Bo Chen, Xingyi Cheng, Pan Li +12
Protein language models have shown remarkable success in learning biological information from protein sequences. However, most existing models are limited by either autoencoding or…
cs.LG2019★ 3 cited
GLAD: Learning Sparse Graph Recovery
Harsh Shrivastava, Xinshi Chen, Binghong Chen +4
Recovering sparse conditional independence graphs from data is a fundamental problem in machine learning with wide applications. A popular formulation of the problem is an …