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20232026
most citedExploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation

12 citations · 33 across the 8 of their papers we have counts for

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astro-ph.CO2025★ 7 cited

Inferring Cosmological Parameters with Evidential Physics-Informed Neural Networks

Hai Siong Tan

We examine the use of a novel variant of Physics-Informed Neural Networks to predict cosmological parameters from recent supernovae and baryon acoustic oscillations (BAO) datasets.…