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20182026
most citedInverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing

2 citations · 6 across the 8 of their papers we have counts for

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cs.LG2024★ 2 cited

Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing

Luka Grbcic, Minok Park, Mahmoud Elzouka +6

We demonstrate a multi-fidelity (MF) machine learning ensemble framework for the inverse design of photonic surfaces, trained on a dataset of 11,759 samples that we fabricate using…

cs.LG2021★ 1 cited

Detecting Label Noise via Leave-One-Out Cross-Validation

Yu-Hang Tang, Yuanran Zhu, Wibe A. de Jong

We present a simple algorithm for identifying and correcting real-valued noisy labels from a mixture of clean and corrupted sample points using Gaussian process regression. A heter…

cs.LG2018

Prediction of Atomization Energy Using Graph Kernel and Active Learning

Yu-Hang Tang, Wibe A. de Jong

Data-driven prediction of molecular properties presents unique challenges to the design of machine learning methods concerning data structure/dimensionality, symmetry adaption, and…