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Loss-driven sampling within hard-to-learn areas for simulation-based neural network training

S Dymchenko, B Raffin - MLPS 2023-Machine Learning and the …, 2023 - hal.science
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… This includes Physics Informed Neural Networks (PINNs), simulation-based inference, deep surrogates and deep reinforcement learning. An adaptive process observes …

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