61 citations · 358 across the 40 of their papers we have counts for
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stat.ML2024
Tensor learning with orthogonal, Lorentz, and symplectic symmetries
Wilson G. Gregory, Josué Tonelli-Cueto, Nicholas F. Marshall +2
Tensors are a fundamental data structure for many scientific contexts, such as time series analysis, materials science, and physics, among many others. Improving our ability to pro…
stat.ML2024★ 7 cited
Is machine learning good or bad for the natural sciences?
David W. Hogg, Soledad Villar
Machine learning (ML) methods are having a huge impact across all of the sciences. However, ML has a strong ontology - in which only the data exist - and a strong epistemology - in…