75 citations · 83 across the 5 of their papers we have counts for
8 papers
Using Bayesian Optimization to Accelerate Virtual Screening for the Discovery of Therapeutics Appropriate for Repurposing for COVID-19
Edward O. Pyzer-Knapp
The novel Wuhan coronavirus known as SARS-CoV-2 has brought almost unprecedented effects for a non-wartime setting, hitting social, economic and health systems hard.~ Being able to…
Privacy-Preserving Gaussian Process Regression -- A Modular Approach to the Application of Homomorphic Encryption
Peter Fenner, Edward O. Pyzer-Knapp
Much of machine learning relies on the use of large amounts of data to train models to make predictions. When this data comes from multiple sources, for example when evaluation of…
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
Matt Benatan, Edward O. Pyzer-Knapp
Reinforcement Learning (RL) has demonstrated state-of-the-art results in a number of autonomous system applications, however many of the underlying algorithms rely on black-box pre…
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
Laura-Jayne Gardiner, Anna Paola Carrieri, Jenny Wilshaw +3
Biomedical data, particularly in the field of genomics, has characteristics which make it challenging for machine learning applications - it can be sparse, high dimensional and noi…
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks
Clyde Fare, Lukas Turcani, Edward O. Pyzer-Knapp
Chemical representations derived from deep learning are emerging as a powerful tool in areas such as drug discovery and materials innovation. Currently, this methodology has three…
Dynamic Control of Explore/Exploit Trade-Off In Bayesian Optimization
Dipti Jasrasaria, Edward O. Pyzer-Knapp
Bayesian optimization offers the possibility of optimizing black-box operations not accessible through traditional techniques. The success of Bayesian optimization methods such as…