Search Results for author: Alexander A. Aldrick

Found 3 papers, 2 papers with code

Data-Driven Discovery of Molecular Photoswitches with Multioutput Gaussian Processes

1 code implementation28 Jun 2020 Ryan-Rhys Griffiths, Jake L. Greenfield, Aditya R. Thawani, Arian R. Jamasb, Henry B. Moss, Anthony Bourached, Penelope Jones, William McCorkindale, Alexander A. Aldrick, Matthew J. Fuchter Alpha A. Lee

Separating the electronic absorption bands of these isomers is key to selectively addressing a specific isomer and achieving high photostationary states whilst overall red-shifting the absorption bands serves to limit material damage due to UV-exposure and increases penetration depth in photopharmacological applications.

BIG-bench Machine Learning Gaussian Processes

Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation

1 code implementation17 Oct 2019 Ryan-Rhys Griffiths, Alexander A. Aldrick, Miguel Garcia-Ortegon, Vidhi R. Lalchand, Alpha A. Lee

Bayesian optimisation is a sample-efficient search methodology that holds great promise for accelerating drug and materials discovery programs.

Bayesian Optimisation Decision Making +1

Antifragile and Robust Heteroscedastic Bayesian Optimisation

no code implementations25 Sep 2019 Ryan Rhys-Griffiths, Miguel Garcia-Ortegon, Alexander A. Aldrick, Alpha A. Lee

Bayesian Optimisation is an important decision-making tool for high-stakes applications in drug discovery and materials design.

Bayesian Optimisation Decision Making +1

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