Hamed Hemati

Continual learning for autoregressive PDE surrogates under evolving physical regimes

Deploying machine learning surrogates in scientific simulations faces multifaceted challenges, primary among which is the lack of Continual Learning (CL) capabilities—specifically, the inability to adapt to new physical regimes without significantly degrading performance on prior ones. This is particularly problematic...