{"total":24,"rows":[{"id":"2305.05577","title":"FAENet: Frame Averaging Equivariant GNN for Materials Modeling","created":"2023-04-28","cited_by_count":73,"area":null},{"id":"2312.07511","title":"A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems","created":"2023-12-12","cited_by_count":68,"area":null},{"id":"2307.07313","title":"HEAL-SWIN: A Vision Transformer On The Sphere","created":"2023-07-14","cited_by_count":20,"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":"2403.03103","title":"Emergent Equivariance in Deep Ensembles","created":"2024-03-05","cited_by_count":18,"area":null},{"id":"2209.14991","title":"Machine learning and invariant theory","created":"2022-09-29","cited_by_count":13,"area":null},{"id":"2410.17878","title":"Relaxed Equivariance via Multitask Learning","created":"2024-10-23","cited_by_count":13,"area":null},{"id":"2310.13164","title":"Almost Equivariance via Lie Algebra Convolutions","created":"2023-10-19","cited_by_count":10,"area":null},{"id":"2410.01452","title":"Ensembles provably learn equivariance through data augmentation","created":"2024-10-02","cited_by_count":8,"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":"2406.06504","title":"Equivariant Neural Tangent Kernels","created":"2024-06-10","cited_by_count":4,"area":null},{"id":"2312.02146","title":"Learning Polynomial Problems with $SL(2,\\mathbb{R})$ Equivariance","created":"2023-12-04","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":"2507.09753","title":"Do we need equivariant models for molecule generation?","created":"2025-07-13","cited_by_count":2,"area":null},{"id":"2511.01982","title":"SEAL - A Symmetry EncourAging Loss for High Energy Physics","created":"2025-11-03","cited_by_count":1,"area":null},{"id":"2512.02303","title":"Training Dynamics of Learning 3D-Rotational Equivariance","created":"2025-12-02","cited_by_count":1,"area":null},{"id":"2202.12995","title":"Near Optimal Reconstruction of Spherical Harmonic Expansions","created":"2022-02-25","cited_by_count":0,"area":null},{"id":"2307.12517","title":"Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold","created":"2023-07-24","cited_by_count":0,"area":null},{"id":"2603.17538","title":"Learning Coordinate-based Convolutional Kernels for Continuous SE(3) Equivariant and Efficient Point Cloud Analysis","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2605.27679","title":"On the Equivariant Learning of the $Q$-tensor Order Parameter","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2606.26273","title":"Equivariance and Augmentation for Bayesian Neural Networks","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.21271","title":"Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2608.14373","title":"Boosting Data Augmentation with Stochastic Weight Averaging","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.26039","title":"EMERGE: Resolution-Agnostic Point Cloud Generation with Equivariant Graph-Based Diffusion","created":"2026-09-22","cited_by_count":0,"area":null}],"next_cursor":null}