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Michael W. Gaultois

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2020 – today

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2024
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  - journals/corr/abs-2407-00671
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Michael Moran, Vladimir V. Gusev, Michael W. Gaultois, Dmytro Antypov, Matthew J. Rosseinsky:
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics. CoRR abs/2407.00671 (2024)
2023
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  - journals/corr/abs-2305-16372
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Samantha Durdy, Michael W. Gaultois, Vladimir V. Gusev, Danushka Bollegala, Matthew J. Rosseinsky:
Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context. CoRR abs/2305.16372 (2023)
2022
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  - journals/corr/abs-2202-01051
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Andrij Vasylenko, Dmytro Antypov, Vladimir V. Gusev, Michael W. Gaultois, Matthew S. Dyer, Matthew J. Rosseinsky:
Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties. CoRR abs/2202.01051 (2022)
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  - journals/corr/abs-2206-08841
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Samantha Durdy, Michael W. Gaultois, Vladimir V. Gusev, Danushka Bollegala, Matthew J. Rosseinsky:
Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties. CoRR abs/2206.08841 (2022)

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