{"total":16,"rows":[{"id":"2505.12083","title":"Discovering Symbolic Differential Equations with Symmetry Invariants","created":"2025-05-17","cited_by_count":6,"area":null},{"id":"2510.01855","title":"Explicit Discovery of Nonlinear Symmetries from Dynamic Data","created":"2025-10-02","cited_by_count":6,"area":null},{"id":"2505.18798","title":"Governing Equation Discovery from Data Based on Differential Invariants","created":"2025-05-24","cited_by_count":4,"area":null},{"id":"2512.20043","title":"Discovering Symmetry Groups with Flow Matching","created":"2025-12-23","cited_by_count":3,"area":null},{"id":"2608.08091","title":"Adaptive Symmetry Discovery for Dynamical System Identification","created":"2026-08-08","cited_by_count":3,"area":null},{"id":"2609.07031","title":"Efficient Learning and Symmetry Discovery under Exact Invariances","created":"2026-09-07","cited_by_count":3,"area":null},{"id":"2503.03014","title":"Learning finite symmetry groups of dynamical systems via equivariance detection","created":"2025-03-04","cited_by_count":2,"area":null},{"id":"2509.22184","title":"Learning Equivariant Functions via Quadratic Forms","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2505.13289","title":"RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization","created":"2025-05-19","cited_by_count":1,"area":null},{"id":"2605.08454","title":"Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2509.22219","title":"Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2603.07299","title":"Spectral Discovery of Continuous Symmetries via Generalized Fourier Transforms","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2605.11524","title":"EqOD: Symmetry-Informed Stability Selection for PDE Identification","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2608.01582","title":"LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2609.33527","title":"Discovering Symmetries in Neural Network Parameter Spaces","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.33663","title":"LieDiscover: Adaptive Symbolic Library Construction for Explicit Open-form Symmetry Discovery","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}