AI Research
Frozen in Time: How a Physics Foundation Model Forgets Under Sim-to-Real Adaptation
A look at forgetting when physics foundation models adapt from simulation to reality
Scientific foundation models (SciFMs) have achieved remarkable performance on a wide range of PDEs, including the ability to efficiently adapt to unseen data distributions with additional finetuning.
AC
ArXiv CS.LG
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2 min
ArXiv CS.LG
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Generated insight by OnAirToday AI
Physics foundation models can perform across many PDEs and adapt to unfamiliar data through finetuning. Examining what they may forget during sim-to-real adaptation is important for understanding the tradeoffs of that flexibility.
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