Cautious Conflict-Free Inverse Gradient Methods
arXiv:2610.31855v1 Announce Type: new Abstract: Partial differential equations (PDEs) are indispensable tools for modeling complex phenomena in physics and engineering. Physics-Informed Neural Networks (PINNs) have emerged as a powerful alternative to traditional numerical solvers by directly incor…
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- 2026-10-27 04:00 · arXiv cs.LG
Cautious Conflict-Free Inverse Gradient Methods