Search Results for author:
Found 2 papers, 1 papers with code
Physics-driven machine learning models coupling PyTorch and Firedrake
Partial differential equations (PDEs) are central to describing and modelling complex physical systems that arise in many disciplines across science and engineering.
Optimal Order Simple Regret for Gaussian Process Bandits
Consider the sequential optimization of a continuous, possibly non-convex, and expensive to evaluate objective function $f$.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
