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stat.ML2025
Gaussian Process Regression for Inverse Problems in Linear PDEs
Xin Li, Markus Lange-Hegermann, Bogdan Raiţă
This paper introduces a computationally efficient algorithm in system theory for solving inverse problems governed by linear partial differential equations (PDEs). We model solutio…
stat.ML2024
Gaussian Process Priors for Boundary Value Problems of Linear Partial Differential Equations
Jianlei Huang, Marc Härkönen, Markus Lange-Hegermann +1
Working with systems of partial differential equations (PDEs) is a fundamental task in computational science. Well-posed systems are addressed by numerical solvers or neural operat…