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Found 4 papers, 1 papers with code
Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields
We show that our approach enables the recovery of high-frequency details that are destroyed without accounting for deformations.
Deep Invertible Approximation of Topologically Rich Maps between Manifolds
By exploiting the topological parallels between locally bilipschitz maps, covering spaces, and local homeomorphisms, and by using universal approximation arguments from machine learning, we find that a novel network of the form $\mathcal{T} \circ p \circ \mathcal{E}$, where $\mathcal{E}$ is an injective network, $p$ a fixed coordinate projection, and $\mathcal{T}$ a bijective network, is a universal approximator of local diffeomorphisms between compact smooth submanifolds embedded in $\mathbb{R}^n$.
On Procrustes Analysis in Hyperbolic Space
Congruent Procrustes analysis aims to find the best matching between two point sets through rotation, reflection and translation.
Euclidean Distance Matrices: Essential Theory, Algorithms and Applications
Euclidean distance matrices (EDM) are matrices of squared distances between points.
Other Computer Science
