22 citations · 47 across the 35 of their papers we have counts for
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cs.LG2022
Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact Recovery
Tal Amir, Shahar Kovalsky, Nadav Dym
The classical problem is to find a rigid motion (orthogonal transformation and translation) that best aligns two given point-sets in the least-squares sense.…
cs.LG2022★ 4 cited
Low Dimensional Invariant Embeddings for Universal Geometric Learning
Nadav Dym, Steven J. Gortler
This paper studies separating invariants: mappings on dimensional domains which are invariant to an appropriate group action, and which separate orbits. The motivation for this…
cs.LG2022★ 1 cited
A Simple and Universal Rotation Equivariant Point-cloud Network
Ben Finkelshtein, Chaim Baskin, Haggai Maron +1
Equivariance to permutations and rigid motions is an important inductive bias for various 3D learning problems. Recently it has been shown that the equivariant Tensor Field Network…