{"total":25,"rows":[{"id":"2211.09786","title":"SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields","created":"2022-11-17","cited_by_count":51,"area":null},{"id":"2408.13242","title":"Improving Equivariant Model Training via Constraint Relaxation","created":"2024-08-23","cited_by_count":23,"area":null},{"id":"2303.04745","title":"A General Theory of Correct, Incorrect, and Extrinsic Equivariance","created":"2023-03-08","cited_by_count":19,"area":null},{"id":"2303.15651","title":"4D Panoptic Segmentation as Invariant and Equivariant Field Prediction","created":"2023-03-28","cited_by_count":19,"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":"2406.05753","title":"Grounding Continuous Representations in Geometry: Equivariant Neural Fields","created":"2024-06-09","cited_by_count":19,"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":"2505.11157","title":"Attention on the Sphere","created":"2025-05-16","cited_by_count":10,"area":null},{"id":"2405.15932","title":"Steerable Transformers for Volumetric Data","created":"2024-05-24","cited_by_count":8,"area":null},{"id":"2306.05584","title":"Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation","created":"2023-06-08","cited_by_count":7,"area":null},{"id":"2310.04521","title":"Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras","created":"2023-10-06","cited_by_count":6,"area":null},{"id":"2402.08529","title":"Approximately Piecewise E(3) Equivariant Point Networks","created":"2024-02-13","cited_by_count":4,"area":null},{"id":"2212.14871","title":"Equivariant Light Field Convolution and Transformer","created":"2022-12-30","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":"2410.05729","title":"Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration","created":"2024-10-08","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":"2401.07595","title":"E3x: $\\mathrm{E}(3)$-Equivariant Deep Learning Made Easy","created":"2024-01-15","cited_by_count":1,"area":null},{"id":"2407.08729","title":"BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registration","created":"2024-07-11","cited_by_count":1,"area":null},{"id":"2407.19838","title":"RNACG: A Universal RNA Sequence Conditional Generation model based on Flow-Matching","created":"2024-07-29","cited_by_count":1,"area":null},{"id":"2505.16035","title":"Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2311.06358","title":"Compact Matrix Quantum Group Equivariant Neural Networks","created":"2023-11-10","cited_by_count":0,"area":null},{"id":"2503.11276","title":"Permutation Equivariant Neural Networks for Symmetric Tensors","created":"2025-03-14","cited_by_count":0,"area":null},{"id":"2509.24311","title":"Towards Foundation Models for Cryo-ET Subtomogram Analysis","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2602.02853","title":"Recurrent Equivariant Constraint Modulation: Learning Per-Layer Symmetry Relaxation from Data","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2606.27864","title":"A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\\mathrm{O}(2)$","created":"2026-06-26","cited_by_count":0,"area":null}],"next_cursor":null}