Haoxiang Huang, Xiang Liu, Shuwei Wang, Jingheng Ma, Sen Cui
HamiFormer introduces a dual-expert diffusion field for predicting smooth dynamics and collisions. It combines whole-window denoising with residual-corrected Hamiltonian propagation. This approach reduces errors in phase-space predictions.
HamiFormer's approach has practical significance in improving the accuracy of physical predictions, which can be applied to various fields such as physics, engineering, and robotics. The reduction of errors in phase-space predictions can lead to more reliable and efficient simulations. This can have a significant impact on the development of complex systems and technologies.
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