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data/tools/tardis.toml

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name = "TARDIS"
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paper = "Topological Algorithms for Robust DIscovery of Singularities"
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image = "TARDIS.svg"
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venue = "ICML 2023"
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description = """\
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The manifold hypothesis is a staple of modern machine learning research. However, real-world data exhibits
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distinct **non-manifold structures, i.e. singularities**, that can lead to erroneous findings.
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We provide a topological framework that quantifies the local intrinsic dimension, and yields a
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**Euclidicity score** for assessing the 'manifoldness' of a point along multiple scales.
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"""
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arXiv = "2210.00069"
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pub = "https://arxiv.org/abs/2210.00069"
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repo = "https://github.com/aidos-lab/TARDIS"

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