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Matthew J. Rosseinsky
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2020 – today
- 2024
- [i5]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
- [j1]Vladimir V. Gusev
, Duncan Adamson
Optimality guarantees for crystal structure prediction. Nat. 619(7968): 68-72 (2023) - [i4]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
- [i3]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) - [i2]Samantha Durdy, Michael W. Gaultois, Vladimir V. Gusev
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) - 2020
- [c1]Dmytro Antypov, Argyrios Deligkas
Crystal Structure Prediction via Oblivious Local Search. SEA 2020: 21:1-21:14 - [i1]Dmytro Antypov, Argyrios Deligkas, Vladimir V. Gusev, Matthew J. Rosseinsky, Paul G. Spirakis, Michail Theofilatos:
Crystal Structure Prediction via Oblivious Local Search. CoRR abs/2003.12442 (2020)
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