Recent papers in Journal of Machine Learning for Modeling and Computing

1. Learning Inverse Maps for Parameter Estimation in Dynamical SystemsJournal of Machine Learning for Modeling and Computing · 2026
2. Code: A Global Approach to Ode Dynamics LearningJournal of Machine Learning for Modeling and Computing · 2026
3. Predictability of Observables of Dynamical SystemsJournal of Machine Learning for Modeling and Computing · 2026
4. Data-Driven Modeling and Correction of Vehicle DynamicsJournal of Machine Learning for Modeling and Computing · 2026
5. Conditional Normalizing Flows for Forward and Backward Joint State and Parameter EstimationJournal of Machine Learning for Modeling and Computing · 2026
6. Gaussian-Process Models of Population DynamicsJournal of Machine Learning for Modeling and Computing · 2025
7. Fractional-Order Prey-Predator Models With Parameter Estimation via Fractional Physics-Informed Neural Networks (Fpinns)Journal of Machine Learning for Modeling and Computing · 2025
8. Dimension-Reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference ProblemsJournal of Machine Learning for Modeling and Computing · 2025
9. Sparse L1-Autoencoders for Scientific Data CompressionJournal of Machine Learning for Modeling and Computing · 2025
10. Time-Series Forecasting and Refinement Within a Multimodal Pde Foundation ModelJournal of Machine Learning for Modeling and Computing · 2025
11. Concurrent, Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural NetworksJournal of Machine Learning for Modeling and Computing · 2025
12. Domain Decomposition for Enhancement of Reduced-Order ModelsJournal of Machine Learning for Modeling and Computing · 2025
13. LLM BENCHMARKING WITH LLaMA2: EVALUATING CODE DEVELOPMENT PERFORMANCE ACROSS MULTIPLE PROGRAMMING LANGUAGESJournal of Machine Learning for Modeling and Computing · 2025
14. Conformal Approach to Gaussian Process Surrogate Evaluationwith Marginal Coverage GuaranteesJournal of Machine Learning for Modeling and Computing · 2025
15. Learning Epidemiological Dynamics via the Finite Expression MethodJournal of Machine Learning for Modeling and Computing · 2025
16. AI-Enabled Cardiovascular Models Trained on Multifidelity Simulations DataJournal of Machine Learning for Modeling and Computing · 2025
17. Nonlinear Reduced Order Modeling Using Convolution Autoencoder for the Quasi-Geostrophic EquationJournal of Machine Learning for Modeling and Computing · 2025
18. Deep Neural Network for Solving Poisson-Boltzmann Equations on Protein SurfacesJournal of Machine Learning for Modeling and Computing · 2025
19. Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty PropagationJournal of Machine Learning for Modeling and Computing · 2025
20. Stratospheric Aerosol Source Inversion: Noise, Variability, and Uncertainty QuantificationJournal of Machine Learning for Modeling and Computing · 2024

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