equivariant neural network

Geometric and Physical Quantities improve E(3) Equivariant Message Passing ICLR 2022 MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields NeurIPS 2022 On Non-Linear operators for Geometric Deep Learning NeurIPS 2022 On-Robot Learning With Equivariant Models CoRL 2022 Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions NeurIPS 2022 Sample Efficient Grasp Learning Using Equivariant Models RSS 2022 Self-Supervised Equivariant Learning for Oriented Keypoint Detection CVPR 2022 Steerable Partial Differential Operators for Equivariant Neural Networks ICLR 2022 Unsupervised Learning of Group Invariant and Equivariant Representations NeurIPS 2022 A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups ICML 2021 Automatic Symmetry Discovery with Lie Algebra Convolutional Network NeurIPS 2021 Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations CoRL 2021 Cyclically Equivariant Neural Decoders for Cyclic Codes ICML 2021 Efficient Equivariant Network NeurIPS 2021 E(n) Equivariant Graph Neural Networks ICML 2021 E(n) Equivariant Normalizing Flows NeurIPS 2021 Equivariant Q Learning in Spatial Action Spaces CoRL 2021 Equivariant Networks for Pixelized Spheres ICML 2021 Gauge Equivariant Transformer NeurIPS 2021 General Nonlinearities in SO(2)-Equivariant CNNs NeurIPS 2021 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization ICLR 2021 PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs AAAI 2021 Reverse-Complement Equivariant Networks for DNA Sequences NeurIPS 2021 Scalars are universal: Equivariant machine learning, structured like classical physics NeurIPS 2021 Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in Data ICLR 2020