{"total":21,"rows":[{"id":"2105.13926","title":"Geometric Deep Learning and Equivariant Neural Networks","created":"2021-05-28","cited_by_count":65,"area":null},{"id":"2310.16050","title":"EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation","created":"2023-10-24","cited_by_count":37,"area":null},{"id":"2204.10144","title":"A case for using rotation invariant features in state of the art feature matchers","created":"2022-04-21","cited_by_count":27,"area":null},{"id":"2202.03990","title":"Equivariance versus Augmentation for Spherical Images","created":"2022-02-08","cited_by_count":24,"area":null},{"id":"2106.10163","title":"Steerable Partial Differential Operators for Equivariant Neural Networks","created":"2021-06-18","cited_by_count":22,"area":null},{"id":"2206.08362","title":"Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces","created":"2022-06-16","cited_by_count":20,"area":null},{"id":"2305.16314","title":"Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance","created":"2023-05-25","cited_by_count":19,"area":null},{"id":"2303.13458","title":"Optimization Dynamics of Equivariant and Augmented Neural Networks","created":"2023-03-23","cited_by_count":18,"area":null},{"id":"2303.15440","title":"EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision","created":"2023-03-27","cited_by_count":18,"area":null},{"id":"2111.15341","title":"ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds","created":"2021-11-30","cited_by_count":15,"area":null},{"id":"2303.11448","title":"Geometrical aspects of lattice gauge equivariant convolutional neural networks","created":"2023-03-20","cited_by_count":6,"area":null},{"id":"2212.14871","title":"Equivariant Light Field Convolution and Transformer","created":"2022-12-30","cited_by_count":2,"area":null},{"id":"2401.14131","title":"Equivariant Manifold Neural ODEs and Differential Invariants","created":"2024-01-25","cited_by_count":2,"area":null},{"id":"2405.19995","title":"Symmetries in Overparametrized Neural Networks: A Mean-Field View","created":"2024-05-30","cited_by_count":2,"area":null},{"id":"2409.07327","title":"Current Symmetry Group Equivariant Convolution Frameworks for Representation Learning","created":"2024-09-11","cited_by_count":2,"area":null},{"id":"2503.09456","title":"SO(3)-Equivariant Neural Networks for Learning from Scalar and Vector Fields on Spheres","created":"2025-03-12","cited_by_count":2,"area":null},{"id":"2509.26631","title":"Learning Generalizable Shape Completion with SIM(3) Equivariance","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2510.23288","title":"Learning from Frustration: Torsor CNNs on Graphs","created":"2025-10-27","cited_by_count":2,"area":null},{"id":"2303.07157","title":"Computing equivariant matrices on homogeneous spaces for Geometric Deep Learning and Automorphic Lie Algebras","created":"2023-03-13","cited_by_count":1,"area":null},{"id":"2209.14719","title":"In Search of Projectively Equivariant Networks","created":"2022-09-29","cited_by_count":0,"area":null},{"id":"2605.11133","title":"Steerable Neural ODEs on Homogeneous Spaces","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}