19 citations · 19 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 19 cited
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC
Patrick Emami, Aidan Perreault, Jeffrey Law +2
A long-standing goal of machine-learning-based protein engineering is to accelerate the discovery of novel mutations that improve the function of a known protein. We introduce a sa…
cs.DS2018
Smoothed Analysis in Unsupervised Learning via Decoupling
Aditya Bhaskara, Aidao Chen, Aidan Perreault +1
Smoothed analysis is a powerful paradigm in overcoming worst-case intractability in unsupervised learning and high-dimensional data analysis. While polynomial time smoothed analysi…