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| C(NN)FD -- a deep learning framework for turbomachinery CFD analysis | Jun 9, 2023 | Deep LearningPhysical Simulations | —Unverified | 0 | 0 |
| Neural Posterior Estimation with Differentiable Simulators | Jul 12, 2022 | Bayesian InferenceDensity Estimation | —Unverified | 0 | 0 |
| NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design | Jun 30, 2024 | Computational EfficiencyPhysical Simulations | —Unverified | 0 | 0 |
| On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods | Mar 31, 2023 | Graph Neural NetworkPhysical Simulations | —Unverified | 0 | 0 |
| Bayesian Neural Ordinary Differential Equations | Dec 14, 2020 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Phys4DGen: A Physics-Driven Framework for Controllable and Efficient 4D Content Generation from a Single Image | Nov 25, 2024 | Physical Simulations | —Unverified | 0 | 0 |
| A Taylor Based Sampling Scheme for Machine Learning in Computational Physics | Jan 20, 2021 | BIG-bench Machine LearningPhysical Simulations | —Unverified | 0 | 0 |
| A Rate-Distortion Framework for Explaining Black-box Model Decisions | Oct 12, 2021 | Physical Simulations | —Unverified | 0 | 0 |
| Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation | Feb 7, 2025 | Graph Neural NetworkPhysical Simulations | —Unverified | 0 | 0 |
