I agree that this site is using cookies. You can find further informations
here
.
X
Login
My folder (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
Show Desktop-Version
Toggle navigation
Brubaker, J. Kyle
53
results:
Format
Online (53)
Mediatypes
Articles (Online) (27)
OpenAccess-fulltext (26)
Sorted by: Relevance
Sorted by: Year
?
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
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/..
?
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: 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/..
?
5
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/..
?
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
Designing quantum annealing schedules using Bayesian optimi..:
Finžgar, Jernej Rudi
;
Schuetz, Martin J. A
;
Brubaker, J. Kyle
..
https://doi.org/10.1103/physrevresearch.6.023063. , 2024
Link:
https://doi.org/10.1103/..
?
14
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..
?
15
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..
1-15