{"total":23,"rows":[{"id":"2204.12005","title":"gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification","created":"2022-04-26","cited_by_count":30,"area":null},{"id":"2212.01418","title":"Operator inference with roll outs for learning reduced models from scarce and low-quality data","created":"2022-12-02","cited_by_count":11,"area":null},{"id":"2308.13819","title":"Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference","created":"2023-08-26","cited_by_count":11,"area":null},{"id":"2409.01433","title":"Domain Decomposition-based coupling of Operator Inference reduced order models via the Schwarz alternating method","created":"2024-09-02","cited_by_count":5,"area":null},{"id":"2602.01493","title":"OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference","created":"2026-02-02","cited_by_count":5,"area":null},{"id":"2211.13698","title":"Certified data-driven physics-informed greedy auto-encoder simulator","created":"2022-11-24","cited_by_count":4,"area":null},{"id":"2303.11379","title":"Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data","created":"2023-03-20","cited_by_count":4,"area":null},{"id":"2508.11542","title":"Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models","created":"2025-08-15","cited_by_count":3,"area":null},{"id":"2602.11378","title":"Toward Adaptive Non-Intrusive Reduced-Order Models: Design and Challenges","created":"2026-02-11","cited_by_count":3,"area":null},{"id":"2502.03672","title":"Physically consistent predictive reduced-order modeling by enhancing Operator Inference with state constraints","created":"2025-02-05","cited_by_count":2,"area":null},{"id":"2507.20463","title":"Operator Inference Aware Quadratic Manifolds with Isotropic Reduced Coordinates for Nonintrusive Model Reduction","created":"2025-07-28","cited_by_count":2,"area":null},{"id":"2511.23037","title":"Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition","created":"2025-11-28","cited_by_count":2,"area":null},{"id":"2412.04409","title":"Stabilizing and Solving Unique Continuation Problems by Parameterizing Data and Learning Finite Element Solution Operators","created":"2024-12-05","cited_by_count":1,"area":null},{"id":"2511.18260","title":"Reduced-Basis Deep Operator Learning for Parametric PDEs with Independently Varying Boundary and Source Data","created":"2025-11-23","cited_by_count":1,"area":null},{"id":"2603.08488","title":"NN-OpInf: an operator inference approach using structure-preserving composable neural networks","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2605.10154","title":"Stable Long-Horizon PDE Forecasting via Latent Structured Spectral Propagators","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2402.17698","title":"Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference","created":"2024-02-27","cited_by_count":0,"area":null},{"id":"2505.00460","title":"Subspace-Distance-Enabled Active Learning for Efficient Data-Driven Model Reduction of Parametric Dynamical Systems","created":"2025-05-01","cited_by_count":0,"area":null},{"id":"2512.19643","title":"ANCHOR: Error-Controlled Adaptive Numerical Correction for Neural Operator Time Marching","created":"2025-12-22","cited_by_count":0,"area":null},{"id":"2601.00038","title":"Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference","created":"2025-12-30","cited_by_count":0,"area":null},{"id":"2601.10690","title":"Data-driven stochastic reduced-order modeling of parametrized dynamical systems","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2604.02601","title":"WGFINNs: Weak formulation-based GENERIC formalism informed neural networks","created":"2026-04-03","cited_by_count":0,"area":null},{"id":"2608.03360","title":"Conformal risk control for model-form uncertainty in parametric non-intrusive reduced-order models","created":"2026-08-04","cited_by_count":0,"area":null}],"next_cursor":null}