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  • title: Combining PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
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            Combining PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
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            Combining PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

            Jul 12, 2020

            Speakers

            FDAB

            Filipe De Avila Belbute-Peres

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            TE

            Thomas Economon

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            ZK

            Zico Kolter

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            About

            Solving large complex partial differential equations (PDEs), such as those that arise in computational fluid dynamics (CFD), is a computationally expensive process. This has motivated the use of deep learning approaches to approximate the PDE solutions, yet the simulation results predicted from these approaches typically do not generalize well to truly novel scenarios. In this work, we develop a hybrid (graph) neural network that combines a traditional graph convolutional network with an embedde…

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            The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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