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cs.LG2025
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez +2
Surrogate models provide efficient alternatives to computationally demanding real world processes but often require large datasets for effective training. A promising solution to t…
cs.LG2025★ 2 cited
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez +2
Surrogate models are frequently employed as efficient substitutes for the costly execution of real-world processes. However, constructing a high-quality surrogate model often deman…