Selected research on discovering structure in data, measuring data and representation geometry, and improving the reliability of machine-learning eval
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Marios Koulakis
koulakis
·
AI & ML interests
I work on scientific machine learning, data and representation geometry, manifold learning, dimensionality reduction, generalization, and model reliability, developing controlled benchmarks and open-source tools for understanding data and learning systems.
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updated a collection about 19 hours ago
Geometry, Structure, and Reliable Machine Learning updated a collection about 19 hours ago
Geometry, Structure, and Reliable Machine Learning updated a collection about 19 hours ago
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