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Recent advances on machine learning for computational fluid dynamics: A survey
This paper explores the recent advancements in enhancing Computational Fluid Dynamics
(CFD) tasks through Machine Learning (ML) techniques. We begin by introducing …
(CFD) tasks through Machine Learning (ML) techniques. We begin by introducing …
Injective flows for star-like manifolds
Normalizing Flows (NFs) are powerful and efficient models for density estimation. When
modeling densities on manifolds, NFs can be generalized to injective flows but the Jacobian …
modeling densities on manifolds, NFs can be generalized to injective flows but the Jacobian …
[PDF][PDF] Mass conservative neural networks
F Arend Torres - 2024 - edoc.unibas.ch
Neural networks have established themselves as a powerful tool for extracting insights from
vast amounts of data. However, with increasing use of deep learning in the natural sciences …
vast amounts of data. However, with increasing use of deep learning in the natural sciences …