{"total":23,"rows":[{"id":"2502.03638","title":"SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models","created":"2025-02-05","cited_by_count":51,"area":null},{"id":"2503.21985","title":"Improving Equivariant Networks with Probabilistic Symmetry Breaking","created":"2025-03-27","cited_by_count":16,"area":null},{"id":"2406.17747","title":"Probing the effects of broken symmetries in machine learning","created":"2024-06-25","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":"2412.11521","title":"On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory","created":"2024-12-16","cited_by_count":10,"area":null},{"id":"2503.07596","title":"Denoising Hamiltonian Network for Physical Reasoning","created":"2025-03-10","cited_by_count":10,"area":null},{"id":"2503.08305","title":"ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals","created":"2025-03-11","cited_by_count":10,"area":null},{"id":"2402.02681","title":"Equivariant Symmetry Breaking Sets","created":"2024-02-05","cited_by_count":9,"area":null},{"id":"2405.14089","title":"Improved Canonicalization for Model Agnostic Equivariance","created":"2024-05-23","cited_by_count":7,"area":null},{"id":"2405.17541","title":"Approximately-symmetric neural networks for quantum spin liquids","created":"2024-05-27","cited_by_count":5,"area":null},{"id":"2408.11760","title":"R2Det: Exploring Relaxed Rotation Equivariance in 2D object detection","created":"2024-08-21","cited_by_count":4,"area":null},{"id":"2501.07773","title":"Symmetry-Aware Generative Modeling through Learned Canonicalization","created":"2025-01-14","cited_by_count":4,"area":null},{"id":"2501.14211","title":"When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach","created":"2025-01-24","cited_by_count":3,"area":null},{"id":"2509.24886","title":"Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2605.14685","title":"Spontaneous symmetry breaking and Goldstone modes for deep information propagation","created":"2026-05-14","cited_by_count":2,"area":null},{"id":"2604.23720","title":"Quasi-Equivariant Metanetworks","created":"2026-04-26","cited_by_count":1,"area":null},{"id":"2511.02087","title":"Energy Loss Functions for Physical Systems","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2607.00556","title":"Group-Equivariant Poincar\\'e Convolutional Networks","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2608.12010","title":"Reducing Symmetry Increase in Equivariant Neural Networks","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2608.18714","title":"The parity gap in crystal tensor prediction","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.08381","title":"Equivariance Breaks the Learning Rate","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.35274","title":"Multi-Attractor GNNs: Set-Valued Expressivity Beyond Unique Equilibria","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.37158","title":"GLASS: Global Latent Aggregation with Slot-based Set Decoding for Scalable All-Atom Crystal Generation","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}