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Soledad Villar

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titleconferencedate
Machine learning on point clouds and other varying-size objectsGraph Learning Meets Theoretical Computer Science 20252025-08-11
Defines a new invariant model on point clouds built from Gram-matrix invariants (diagonals, off‑diagonals plus one explicit polynomial f) and proves those…
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Equivariant Machine Learning Structured Like Classical PhysicsOptimization Under Symmetry 20212021-11-29
Provides a concrete, dimension-agnostic parameterization: inner products as complete invariants for O(d) and Minkowski variants, and any O(d)-equivariant…
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Certified Sub-Linear Lower Bounds for K-Means ClusteringSublinear Algorithms and Nearest-Neighbor Search2018-11-27
Claims a sub-linear certifier for k‑means that computes probabilistic lower bounds by solving an SDP on random subsets of the data, so total work depends on…
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