Euclidean Equivariant Models for Generative Graphical Inverse Kinematics

4 July 2023

Papers citing "Euclidean Equivariant Models for Generative Graphical Inverse Kinematics"

10 / 10 papers shown

Title
IKFlow: Generating Diverse Inverse Kinematics Solutions Barrett Ames Jeremy Morgan George Konidaris 42 36 0 17 Nov 2021
Convex Iteration for Distance-Geometric Inverse Kinematics Matthew Giamou Filip Marić David M. Rosen Valentin Peretroukhin Nicholas Roy Ivan Petrović Jonathan Kelly 115 21 0 08 Sep 2021
Riemannian Optimization for Distance-Geometric Inverse Kinematics Filip Marić Matthew Giamou Adam W. Hall Soroush Khoubyarian Ivan Petrović Jonathan Kelly 54 36 0 31 Aug 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 113 1,033 0 19 Feb 2021
Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms Tim von Oehsen Alexander Fabisch Shivesh Kumar Frank Kirchner 32 10 0 29 Feb 2020
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,331 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,496 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 677 29,183 0 09 Sep 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013