Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants with no False Negatives and no False Positives

27 March 2023

Papers citing "Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants with no False Negatives and no False Positives"

8 / 8 papers shown

Title
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 81 3 0 02 Jul 2024
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation Anthony Simeonov Yilun Du Andrea Tagliasacchi J. Tenenbaum Alberto Rodriguez Pulkit Agrawal Vincent Sitzmann 119 245 0 09 Dec 2021
Equivariant representations for molecular Hamiltonians and N-center atomic-scale properties Jigyasa Nigam M. J. Willatt Michele Ceriotti 35 59 0 24 Sep 2021
Fast predictions of lattice energies by continuous isometry invariants of crystal structures Jakob Ropers M. Mosca O. Anosova V. Kurlin Andrew I. Cooper 26 12 0 11 Aug 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 109 135 0 20 Jan 2021
ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants Jingang Shi Heng Yang Luca Carlone 90 61 0 07 Nov 2020
Functional Adversarial Attacks Cassidy Laidlaw Soheil Feizi AAML 66 185 0 29 May 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 808 3,281 0 24 Nov 2016