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The Journal of chemical physics, 2023-07, Vol.159 (3)
2023
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Soft matter, 2020-01, Vol.16 (2), p.435-446
2020
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Physical review letters, 2010-04, Vol.104 (13), p.136403-136403, Article 136403
2010
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Machine learning: science and technology, 2023-03, Vol.4 (1), p.15031
2023
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PRX quantum, 2023-05, Vol.4 (2), p.020327, Article 020327
2023
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A community-powered search of machine learning strategy space to find NMR property prediction models
- Bratholm, Lars A
- Gerrard, Will
- Anderson, Brandon
- Bai, Shaojie
- Choi, Sunghwan
- Dang, Lam
- Hanchar, Pavel
- Howard, Addison
- Kim, Sanghoon
- Kolter, Zico
- Kondor, Risi
- Kornbluth, Mordechai
- Lee, Youhan
- Lee, Youngsoo
- Mailoa, Jonathan P
- Nguyen, Thanh Tu
- Popovic, Milos
- Rakocevic, Goran
- Reade, Walter
- Song, Wonho
- Stojanovic, Luka
- Thiede, Erik H
- Tijanic, Nebojsa
- Torrubia, Andres
- Willmott, Devin
- Butts, Craig P
- Glowacki, David R
- Salahub, Dennis
2021
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Physical review. B, Condensed matter and materials physics, 2013-05, Vol.87 (18), Article 184115
2013
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Biophysical journal, 2022-02, Vol.121 (3), p.531a-531a
2022
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The Journal of chemical physics, 2018-06, Vol.148 (24), p.241745-241745
2018
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Lecture notes in computer science, 2003, p.144-158
2003
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Physical review. B, 2017-07, Vol.96 (1), Article 019902
2017
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2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Vol.2017, p.692-701
2017
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Lecture notes in computer science, 2003, p.57-71
2003
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Patterns of Dynamics, p.289-317
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Physical review. B, Condensed matter and materials physics, 2013-06, Vol.87 (21), Article 219902
2013
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Proceedings of the twenty-first annual ACM-SIAM symposium on discrete algorithms, 2010, p.1017-1028
2010
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Proceedings of the 25th international conference on machine learning, 2008, p.496-503
2008
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Proceedings of the 26th Annual International Conference on machine learning, 2009, p.529-536
2009
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