54 citations · 62 across the 7 of their papers we have counts for
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cs.LG2022★ 1 cited
Unsupervised language models for disease variant prediction
Allan Zhou, Nicholas C. Landolfi, Daniel C. O'Neill
There is considerable interest in predicting the pathogenicity of protein variants in human genes. Due to the sparsity of high quality labels, recent approaches turn to \textit{uns…
cs.LG2019★ 5 cited
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning
Nicholas C. Landolfi, Garrett Thomas, Tengyu Ma
The aim of multi-task reinforcement learning is two-fold: (1) efficiently learn by training against multiple tasks and (2) quickly adapt, using limited samples, to a variety of new…