Search Results for author: Aidan Perreault

Found 4 papers, 1 papers with code

Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC

1 code implementation20 Dec 2022 Patrick Emami, Aidan Perreault, Jeffrey Law, David Biagioni, Peter C. St. John

We introduce a sampling framework for evolving proteins in silico that supports mixing and matching a variety of unsupervised models, such as protein language models, and supervised models that predict protein function from sequence.

Protein Language Model

H-divergence: A Decision-Theoretic Discrepancy Measure for Two Sample Tests

no code implementations1 Jan 2021 Shengjia Zhao, Abhishek Sinha, Yutong He, Aidan Perreault, Jiaming Song, Stefano Ermon

Based on ideas from decision theory, we investigate a new class of discrepancies that are based on the optimal decision loss.

Vocal Bursts Valence Prediction

Smoothed Analysis in Unsupervised Learning via Decoupling

no code implementations29 Nov 2018 Aditya Bhaskara, Aidao Chen, Aidan Perreault, Aravindan Vijayaraghavan

Smoothed analysis is a powerful paradigm in overcoming worst-case intractability in unsupervised learning and high-dimensional data analysis.

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