AI RESEARCH

Conflict-Aware Harmonized Rotational Gradient for Multiscale Kinetic Regimes

arXiv CS.LG

ArXi:2604.24745v1 Announce Type: new In this paper, we propose a harmonized rotational gradient method, termed HRGrad, for simultaneously tackling multiscale time-dependent kinetic problems with varying small parameters. These parameters exhibit asymptotic transitions from microscopic to macroscopic physics, making it a challenging multi-task problem to solve over all ranges simultaneously. Solving tasks in different asymptotic regions often encounter gradient conflicts, which can lead to the failure of multi-task learning.