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HSE University
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Evolutionary algorithms can drastically improve the accuracy of Physics-Informed Neural Networks by efficiently navigating the complex hyperparameter landscape.
VLA models retain basic knowledge but falter on complex semantics, revealing a critical gap in their adaptation from VLMs.
