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Brubaker, J. Kyle
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Online (51)
Mediatypes
Articles (Online) (26)
OpenAccess-fulltext (25)
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1
Designing quantum annealing schedules using Bayesian optimi..:
Finžgar, Jernej Rudi
;
Schuetz, Martin J. A.
;
Brubaker, J. Kyle
..
Physical Review Research. 6 (2024) 2 - p. , 2024
Link:
https://doi.org/10.1103/..
?
2
Reply to: Inability of a graph neural network heuristic to ..:
Schuetz, Martin J. A.
;
Brubaker, J. Kyle
;
Katzgraber, Helmut G.
Nature Machine Intelligence. 5 (2022) 1 - p. 26-28 , 2022
Link:
https://doi.org/10.1038/..
?
3
Graph coloring with physics-inspired graph neural networks:
Schuetz, Martin J. A.
;
Brubaker, J. Kyle
;
Zhu, Zhihuai
.
Physical Review Research. 4 (2022) 4 - p. , 2022
Link:
https://doi.org/10.1103/..
?
4
Reply to: Modern graph neural networks do worse than classi..:
Schuetz, Martin J. A.
;
Brubaker, J. Kyle
;
Katzgraber, Helmut G.
Nature Machine Intelligence. 5 (2022) 1 - p. 32-34 , 2022
Link:
https://doi.org/10.1038/..
?
5
Combinatorial optimization with physics-inspired graph neur..:
Schuetz, Martin J. A.
;
Brubaker, J. Kyle
;
Katzgraber, Helmut G.
Nature Machine Intelligence. 4 (2022) 4 - p. 367-377 , 2022
Link:
https://doi.org/10.1038/..
?
6
Optimization of Robot-Trajectory Planning with Nature-Inspi..:
Schuetz, Martin J.A.
;
Brubaker, J. Kyle
;
Montagu, Henry
...
Physical Review Applied. 18 (2022) 5 - p. , 2022
Link:
https://doi.org/10.1103/..
?
7
Bio-inspired counter-current multiplier for enrichment of s..:
Brubaker, Kyle
;
Garewal, Armand
;
Steinhardt, Rachel C.
.
Nature Communications. 9 (2018) 1 - p. , 2018
Link:
https://doi.org/10.1038/..
?
8
Three-Dimensional Conformal Coatings through the Entrapment..:
Nguyen, Du T.
;
Kleiman, Maya
;
Ryu, Keun Ah
...
ACS Applied Materials & Interfaces. 6 (2014) 4 - p. 2830-2835 , 2014
Link:
https://doi.org/10.1021/..
?
9
Structural Remodeling of Polymeric Material via Diffusion C..:
Brubaker, Kyle S.
;
Kleiman, Maya
;
Hernandez, Lauren
..
Chemistry of Materials. 30 (2018) 22 - p. 8126-8133 , 2018
Link:
https://doi.org/10.1021/..
?
10
Bio-Inspired Morphogenesis Using Microvascular Networks and..:
Kleiman, Maya
;
Brubaker, Kyle S.
;
Nguyen, Du T.
.
Chemistry of Materials. 27 (2015) 13 - p. 4871-4876 , 2015
Link:
https://doi.org/10.1021/..
?
11
Explainable Artificial Intelligence Using Expressive Boolea..:
Rosenberg, Gili
;
Brubaker, John Kyle
;
Schuetz, Martin J. A.
...
Machine Learning and Knowledge Extraction. 5 (2023) 4 - p. 1760-1795 , 2023
Link:
https://doi.org/10.3390/..
?
12
Protein cofactor-dependent acquisition of novel catalytic a..:
Cole, Kyle Brubaker
;
Dorit, Robert L
Journal of Molecular Biology. 307 (2001) 5 - p. 1181-1193 , 2001
Link:
https://doi.org/10.1006/..
?
13
Reply to: Modern graph neural networks do worse than classi..:
Schuetz, Martin J. A
;
Brubaker, J. Kyle
;
Katzgraber, Helmut G
http://arxiv.org/abs/2302.03602. , 2023
Link:
http://arxiv.org/abs/230..
?
14
Designing Quantum Annealing Schedules using Bayesian Optimi..:
Finžgar, Jernej Rudi
;
Schuetz, Martin J. A
;
Brubaker, J. Kyle
..
http://arxiv.org/abs/2305.13365. , 2023
Link:
http://arxiv.org/abs/230..
?
15
Explainable AI using expressive Boolean formulas:
Rosenberg, Gili
;
Brubaker, J. Kyle
;
Schuetz, Martin J. A
...
http://arxiv.org/abs/2306.03976. , 2023
Link:
http://arxiv.org/abs/230..
1-15