Statistical Learning
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Neural Information Processing Systems
We study first-order optimization algorithms for computing the barycenter of Gaussian distributions with respect to the optimal transport metric.
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Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
Neural Information Processing Systems
Another category of methods such as Fourier Neural Operator (FNO) and Deep Operator Network (DeepONet) try to approximate the solution mapping directly.
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