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Phillip M. Maffettone
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2020 – today
- 2024
- [c3]Chandima Fernando, Daniel Olds, Stuart I. Campbell, Phillip M. Maffettone:
Facile Integration of Robots into Experimental Orchestration at Scientific User Facilities. ICRA 2024: 9578-9584 - 2023
- [i5]Phillip M. Maffettone, Daniel B. Allan, Stuart I. Campbell, Matthew R. Carbone, Thomas A. Caswell, Brian L. DeCost, Dmitri Gavrilov, Marcus D. Hanwell, Howie Joress, Joshua K. Lynch, Bruce Ravel, Stuart B. Wilkins, Jakub Wlodek, Daniel Olds:
Self-driving Multimodal Studies at User Facilities. CoRR abs/2301.09177 (2023) - [i4]Natalie Maus, Yimeng Zeng, Daniel Allen Anderson, Phillip M. Maffettone, Aaron Solomon, Peyton Greenside, Osbert Bastani, Jacob R. Gardner:
Inverse Protein Folding Using Deep Bayesian Optimization. CoRR abs/2305.18089 (2023) - 2022
- [c2]Samuel Stanton, Wesley J. Maddox, Nate Gruver, Phillip M. Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson:
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. ICML 2022: 20459-20478 - [i3]Tatiana Konstantinova, Phillip M. Maffettone, Bruce Ravel, Stuart I. Campbell, Andi M. Barbour, Daniel Olds:
Machine learning enabling high-throughput and remote operations at large-scale user facilities. CoRR abs/2201.03550 (2022) - [i2]Samuel Stanton, Wesley J. Maddox, Nate Gruver, Phillip M. Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson:
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. CoRR abs/2203.12742 (2022) - 2021
- [j2]Phillip M. Maffettone, Joshua K. Lynch, Thomas A. Caswell, Clara E. Cook, Stuart I. Campbell, Daniel Olds:
Gaming the beamlines - employing reinforcement learning to maximize scientific outcomes at large-scale user facilities. Mach. Learn. Sci. Technol. 2(2): 25025 (2021) - [j1]Phillip M. Maffettone, Lars Banko, Peng Cui, Yury Lysogorskiy, Marc A. Little, Daniel Olds, Alfred Ludwig, Andrew I. Cooper:
Crystallography companion agent for high-throughput materials discovery. Nat. Comput. Sci. 1(4): 290-297 (2021) - [c1]Daniel Olds, Daniel B. Allan, Thomas A. Caswell, Joshua K. Lynch, Phillip M. Maffettone, Stuart I. Campbell:
Optimizing High- Throughput Capabilities by Leveraging Reinforcement Learning Methods with the Bluesky Suite. XLOOP@SC 2021: 36-42 - [i1]Phillip M. Maffettone, Aidan C. Daly, Daniel Olds:
Constrained non-negative matrix factorization enabling real-time insights of in situ and high-throughput experiments. CoRR abs/2104.00864 (2021)
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last updated on 2024-10-07 21:12 CEST by the dblp team
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