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20242026
most citedVariationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy

3 citations · 3 across the 4 of their papers we have counts for

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math.NA2026

Preconditioning and Numerical Stability in Neural Network Training for Parametric PDEs

Markus Bachmayr, Wolfgang Dahmen, Chenguang Duan +1

In the context of training neural network-based approximations of solutions of parameter-dependent PDEs, we investigate the effect of preconditioning via well-conditioned frame rep…

math.OC2026

Anderson Mixing in Bures Wasserstein Space of Gaussian Measures

Vitalii Aksenov, Martin Eigel, Mathias Oster

Various statistical tasks, including sampling or computing Wasserstein barycenters, can be reformulated as fixed-point problems for operators on probability distributions. Accelera…