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09/21/2023
Super-localised wave function approximation of Bose-Einstein condensates
This paper presents a novel spatial discretisation method for the reliab...
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06/16/2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels
Learning the kernel parameters for Gaussian processes is often the compu...
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03/17/2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems
Learning precise surrogate models of complex computer simulations and ph...
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02/06/2023
A posteriori error estimation for parabolic problems with dynamic boundary conditions
This paper is concerned with adaptive mesh refinement strategies for the...
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10/21/2022
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport
Despite recent advances in automated machine learning, model selection i...
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03/28/2022
Safe Active Learning for Multi-Output Gaussian Processes
Multi-output regression problems are commonly encountered in science and...
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08/18/2021
Bulk-surface Lie splitting for parabolic problems with dynamic boundary conditions
This paper studies bulk-surface splitting methods of first order for (se...
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07/30/2021
Active Learning in Gaussian Process State Space Model
We investigate active learning in Gaussian Process state-space models (G...
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02/05/2021
Singular perturbation results for linear partial differential-algebraic equations of hyperbolic type
We consider constrained partial differential equations of hyperbolic typ...
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07/05/2019
Exponential integrators for semi-linear parabolic problems with linear constraints
This paper is devoted to the construction of exponential integrators of ...
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01/18/2016