Michael W. Gaultois

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 4

Top Topics

Scientific Discovery

Unsupervised Clustering

Dimensionality Reduction

Random Projections

Top Venues

Publications

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 (2024)
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 (2023)
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 (2022)
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 (2022)