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Michael Anthony Puthawala

2 accepted papers

2024

Can neural operators always be continuously discretized?

NeurIPS 2024poster

In this work we consider the problem of discretization of neural operators in a general setting. Using category theory, we give a no-go theorem that shows that diffeomorphisms between Hilbert spaces may not admit any continuous approximations by diffeomorphisms on finite spaces, even if the discreti…

Cited by 0Source ↗PDF ↗Scholar ↗
2023

Globally injective and bijective neural operators

NeurIPS 2023poster

Recently there has been great interest in operator learning, where networks learn operators between function spaces from an essentially infinite-dimensional perspective. In this work we present results for when the operators learned by these networks are injective and surjective. As a warmup, we com…

Cited by 14Source ↗PDF ↗Scholar ↗