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The paper demonstrates that Low-Rank Adaptation (LoRA) is an effective and superior method for adapting large, pretrained Transformer surrogates for automotive aerodynamics to new vehicle families using minimal data, outperforming full fine-tuning and lightweight fine-tuning.
The paper demonstrates that Low-Rank Adaptation (LoRA) is an effective and superior method for adapting large, pretrained Transformer surrogates for automotive aerodynamics to new vehicle families using minimal data, outperforming full fine-tuning and lightweight fine-tuning.
Papers
Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning
The paper demonstrates that Low-Rank Adaptation (LoRA) is an effective and superior method for adapting large, pretrained Transformer surrogates for automotive aerodynamics to new vehicle families usi…