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Found 6 papers, 0 papers with code
Spatio-temporal Gaussian processes modeling of dynamical systems in systems biology
The spatio-temporal field of protein concentration and mRNA expression are reconstructed without explicitly solving the partial differential equation.
Intrinsic Gaussian processes on complex constrained domains
in-GPs respect the potentially complex boundary or interior conditions as well as the intrinsic geometry of the spaces.
Intrinsic Gaussian Processes on Manifolds and Their Accelerations by Symmetry
The introduction of our strip algorithm, tailored for manifolds with extra symmetries, and the ball algorithm, designed for arbitrary manifolds, constitutes our significant contribution.
Extrinsic Bayesian Optimizations on Manifolds
We propose an extrinsic Bayesian optimization (eBO) framework for general optimization problems on manifolds.
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics
We use the the probabilistic metric tensor to simulate Brownian Motion paths on the unknown manifold.
Intrinsic Bayesian Optimisation on Complex Constrained Domain
Motivated by the success of Bayesian optimisation algorithms in the Euclidean space, we propose a novel approach to construct Intrinsic Bayesian optimisation (In-BO) on manifolds with a primary focus on complex constrained domains or irregular-shaped spaces arising as submanifolds of R2, R3 and beyond.
