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The Leiden Declaration on Artificial Intelligence and Mathematics calls for action to address challenges and opportunities of AI in mathematics research, emphasizing ethical values and responsibilities. It is endorsed by the International Mathematical Union.
This paper systematically explores hybrid KAN and MLP architectures for IMU-based human activity recognition, achieving a 5.33% average macro F1 improvement over pure MLP baselines.