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Machine Learning and the Physical Sciences
A NeurIPS 2023 workshop
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Physics-informed machine learning meets engineering
An online seminars serie hosted by the Alan Turing Institute
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NeuPDE
Hard-coding derivative to reduce the parameter count in NeuralODE
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MeshFreeFlowNet
A Physics-constrained super-resolution framework
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Self-Adaptive PINNs using a Soft Attention Mechanism
Additionnal learning of multiplicative soft attention masks to weight each training point individually