no code implementations • 17 Oct 2022 • Miguel Garcia-Ortegon, Andreas Bender, Sergio Bacallado
Neural processes (NPs) are models for transfer learning with properties reminiscent of Gaussian Processes (GPs).
1 code implementation • 17 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.
no code implementations • 25 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.