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AI: learning theory, approximation theory, high-dimensional probability, information theory, mathematical analysis of neural networks, representation learning, robustness, and interpretability
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). • Non-iterative shape imaging using boundary measurements. • Noise-aware operator learning frameworks. • Rigorous approximation theory for neural operators in infinite-dimensional settings. The
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