Matthew J. Rosseinsky

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Prediction Accuracy

Unsupervised Clustering

Structural Properties

Geometric Structure

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)
Vladimir V. Gusev, Duncan Adamson, Argyrios Deligkas, Dmytro Antypov, Christopher M. Collins, Piotr Krysta, Igor Potapov, George R. Darling, Matthew S. Dyer, Paul G. Spirakis, Matthew J. Rosseinsky
Optimality guarantees for crystal structure prediction. Nat. 619 (7968) (2023)
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)
Dmytro Antypov, Argyrios Deligkas, Vladimir V. Gusev, Matthew J. Rosseinsky, Paul G. Spirakis, Michail Theofilatos
Crystal Structure Prediction via Oblivious Local Search. CoRR (2020)
Dmytro Antypov, Argyrios Deligkas, Vladimir V. Gusev, Matthew J. Rosseinsky, Paul G. Spirakis, Michail Theofilatos
Crystal Structure Prediction via Oblivious Local Search. SEA (2020)