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2020 – today
- 2024
[j2]Pieter Buys Burger
, Xiaohu Hu, Ilya Balabin, Morné Muller, Megan Stanley, Fourie Joubert, Thomas M. Kaiser:
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology. J. Chem. Inf. Model. 64(9): 3812-3825 (2024)- [i3]Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Anna Vaughan, Jayesh K. Gupta, Kit Thambiratnam, Alex Archibald, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris:
Aurora: A Foundation Model of the Atmosphere. CoRR abs/2405.13063 (2024) - 2023
- [j1]Jessica Lanini, Gianluca Santarossa, Finton Sirockin, Richard A. Lewis, Nikolas Fechner, Hubert Misztela, Sarah Lewis, Krzysztof Maziarz, Megan Stanley, Marwin H. S. Segler, Nikolaus Stiefl, Nadine Schneider:
PREFER: A New Predictive Modeling Framework for Molecular Discovery. J. Chem. Inf. Model. 63(15): 4497-4504 (2023) - [c3]Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti:
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks. ICLR 2023 - [i2]Krzysztof Maziarz, Austin Tripp, Guoqing Liu, Megan Stanley, Shufang Xie, Piotr Gainski, Philipp Seidl, Marwin H. S. Segler:
Re-evaluating Retrosynthesis Algorithms with Syntheseus. CoRR abs/2310.19796 (2023) - 2021
- [c2]Christopher Frye, Damien de Mijolla, Tom Begley, Laurence Cowton, Megan Stanley, Ilya Feige:
Shapley explainability on the data manifold. ICLR 2021 - [c1]Megan Stanley, John Bronskill, Krzysztof Maziarz, Hubert Misztela, Jessica Lanini, Marwin H. S. Segler, Nadine Schneider, Marc Brockschmidt:
FS-Mol: A Few-Shot Learning Dataset of Molecules. NeurIPS Datasets and Benchmarks 2021 - 2020
- [i1]Christopher Frye, Damien de Mijolla, Laurence Cowton, Megan Stanley, Ilya Feige:
Shapley-based explainability on the data manifold. CoRR abs/2006.01272 (2020)
Coauthor Index
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