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2020 – today
- 2024
[i5]Matthew Spellings, Maya Martirossyan, Julia Dshemuchadse:
Self-Supervised Learning for Ordered Three-Dimensional Structures. CoRR abs/2411.14680 (2024)- 2023
- [j1]Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings:
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Kin Long Kelvin Lee
, Carmelo Gonzales, Matthew Spellings, Mikhail Galkin, Santiago Miret, Nalini Kumar:
Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. SC Workshops 2023: 51-59 - [i4]Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret:
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling. CoRR abs/2309.05934 (2023) - 2022
- [i3]Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings:
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. CoRR abs/2210.17484 (2022) - 2021
- [i2]Matthew Spellings:
Geometric Algebra Attention Networks for Small Point Clouds. CoRR abs/2110.02393 (2021)
2010 – 2019
- 2019
- [i1]Matthew Spellings:
Agglomerative Attention. CoRR abs/1907.06607 (2019) - 2011
- [c1]Edward W. Lowe, Mariusz Butkiewicz, Matthew Spellings, Albert Omlor, Jens Meiler:
Comparative analysis of machine learning techniques for the prediction of logP. CIBCB 2011: 35-40
Coauthor Index
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