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cs.LG2022★ 1 cited
Deep Invertible Approximation of Topologically Rich Maps between Manifolds
Michael Puthawala, Matti Lassas, Ivan Dokmanic +2
How can we design neural networks that allow for stable universal approximation of maps between topologically interesting manifolds? The answer is with a coordinate projection. Neu…
math.AP2022
Uniqueness in an inverse problem of fractional elasticity
Giovanni Covi, Maarten de Hoop, Mikko Salo
We study an inverse problem for fractional elasticity. In analogy to the classical problem of linear elasticity, we consider the unique recovery of the Lamé parameters associated t…