{"total":16,"rows":[{"id":"2203.06442","title":"Equivariant Graph Mechanics Networks with Constraints","created":"2022-03-12","cited_by_count":68,"area":null},{"id":"2206.07681","title":"Learning to Accelerate Partial Differential Equations via Latent Global Evolution","created":"2022-06-15","cited_by_count":39,"area":null},{"id":"2102.06794","title":"Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models","created":"2021-02-12","cited_by_count":34,"area":null},{"id":"2112.09161","title":"Constraint-based graph network simulator","created":"2021-12-16","cited_by_count":27,"area":null},{"id":"2209.11588","title":"Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network","created":"2022-09-23","cited_by_count":23,"area":null},{"id":"2102.13235","title":"Adaptable Hamiltonian neural networks","created":"2021-02-25","cited_by_count":21,"area":null},{"id":"2210.00272","title":"FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities","created":"2022-10-01","cited_by_count":12,"area":null},{"id":"2405.15056","title":"ElastoGen: 4D Generative Elastodynamics","created":"2024-05-23","cited_by_count":10,"area":null},{"id":"2109.09151","title":"Locally-symplectic neural networks for learning volume-preserving dynamics","created":"2021-09-19","cited_by_count":9,"area":null},{"id":"2207.05060","title":"Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?","created":"2022-07-08","cited_by_count":7,"area":null},{"id":"2305.00092","title":"Improving Gradient Computation for Differentiable Physics Simulation with Contacts","created":"2023-04-28","cited_by_count":5,"area":null},{"id":"2410.23667","title":"Projected Neural Differential Equations for Learning Constrained Dynamics","created":"2024-10-31","cited_by_count":5,"area":null},{"id":"2507.04225","title":"Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints","created":"2025-07-06","cited_by_count":4,"area":null},{"id":"2603.18026","title":"Physically Accurate Differentiable Inverse Rendering for Radio Frequency Digital Twin","created":"2026-03-05","cited_by_count":1,"area":null},{"id":"2605.09495","title":"Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2607.27188","title":"Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes","created":"2026-07-29","cited_by_count":0,"area":null}],"next_cursor":null}