{"total":13,"rows":[{"id":"2204.03216","title":"Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data","created":"2022-04-07","cited_by_count":37,"area":null},{"id":"2302.12682","title":"A DeepONet multi-fidelity approach for residual learning in reduced order modeling","created":"2023-02-24","cited_by_count":14,"area":null},{"id":"2402.14646","title":"CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations","created":"2024-02-22","cited_by_count":14,"area":null},{"id":"2311.16410","title":"Reduced-order modeling for parameterized PDEs via implicit neural representations","created":"2023-11-28","cited_by_count":8,"area":null},{"id":"2205.12419","title":"Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling","created":"2022-05-25","cited_by_count":4,"area":null},{"id":"2410.01786","title":"Learning To Solve Differential Equation Constrained Optimization Problems","created":"2024-10-02","cited_by_count":3,"area":null},{"id":"2507.22539","title":"A surrogate model for topology optimisation of elastic structures via parametric autoencoders","created":"2025-07-30","cited_by_count":3,"area":null},{"id":"2104.12282","title":"Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients","created":"2021-04-25","cited_by_count":2,"area":null},{"id":"2602.15632","title":"Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition","created":"2026-02-17","cited_by_count":2,"area":null},{"id":"2509.24573","title":"Learning to Solve Optimization Problems Constrained with Partial Differential Equations","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2602.01397","title":"Nonlinear model reduction for transport-dominated problems","created":"2026-02-01","cited_by_count":1,"area":null},{"id":"2410.19514","title":"Parametric Nonlinear Volterra Series via Machine Learning: Transonic Aerodynamics","created":"2024-10-25","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}],"next_cursor":null}