Diane Oyen
Diane Oyen
Los Alamos National Laboratory
Verified email at cs.unm.edu - Homepage
Title
Cited by
Cited by
Year
Quantum algorithm implementations for beginners
PJ Coles, S Eidenbenz, S Pakin, A Adedoyin, J Ambrosiano, P Anisimov, ...
arXiv, arXiv: 1804.03719, 2018
117*2018
Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning
D Oyen, T Lane
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
332012
Bayesian discovery of multiple Bayesian networks via transfer learning
D Oyen, T Lane
IEEE 13th International Conference on Data Mining, 2013
202013
Learning planar Ising models
JK Johnson, D Oyen, M Chertkov, P Netrapalli
The Journal of Machine Learning Research 17 (1), 7539-7564, 2016
132016
Transfer learning for Bayesian discovery of multiple Bayesian networks
D Oyen, T Lane
Knowledge and Information Systems 43 (1), 1-28, 2015
102015
A novel algorithm for skeleton extraction from images using topological graph analysis
L Yang, D Oyen, B Wohlberg
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2019
92019
Bayesian Networks with Prior Knowledge for Malware Phylogenetics.
D Oyen, B Anderson, CM Anderson-Cook
AAAI Workshop: Artificial Intelligence for Cyber Security, 2016
72016
Image classification using topological features automatically extracted from graph representation of images
L Yang, D Oyen, B Wohlberg
Proceedings of the 15th International Workshop on Mining and Learning with†…, 2019
62019
Learning watershed cuts energy functions
R Porter, D Oyen, BG Zimmer
International Symposium on Mathematical Morphology and Its Applications to†…, 2015
42015
Quantum algorithm implementations for beginners
A Adedoyin, J Ambrosiano, P Anisimov, A Bšrtschi, W Casper, ...
arXiv preprint arXiv:1804.03719, 2018
32018
Controlling the precision-recall tradeoff in differential dependency network analysis
D Oyen, A Niculescu-Mizil, R Ostroff, A Stewart, VP Clark
arXiv preprint arXiv:1307.2611, 2013
32013
StressNet-Deep learning to predict stress with fracture propagation in brittle materials
Y Wang, D Oyen, WG Guo, A Mehta, CB Scott, N Panda, ...
npj Materials Degradation 5 (1), 1-10, 2021
22021
Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling
N Panda, D Osthus, G Srinivasan, D O'Malley, V Chau, D Oyen, ...
Journal of Computational Physics 420, 109719, 2020
22020
Interactive discovery of chemical structure in ChemCam targets using Gaussian graphical models
D Oyen, N Lanza
Workshops of the International Joint Conference on Artificial Intelligence, 2016
22016
TGGLines: A robust topological graph guided line segment detector for low quality binary images
M Gong, L Yang, C Potts, VK Asari, D Oyen, B Wohlberg
arXiv preprint arXiv:2002.12428, 2020
12020
Learning diverse Gaussian graphical models and interpreting edges
R Yousefzadeh, D Oyen, N Lanza
Proceedings of the 2019 SIAM International Conference on Data Mining, 405-413, 2019
12019
A topological graph-based representation for denoising low quality binary images
C Potts, L Yang, D Oyen, B Wohlberg
Proceedings of the IEEE/CVF International Conference on Computer Vision†…, 2019
12019
Methods and systems for dependency network analysis using a multitask learning graphical lasso objective function
A Niculescu-Mizil, D Oyen
US Patent 9,449,284, 2016
12016
MAMA User Guide v2. 0.1
BK Gaschen, JJ Bloch, R Porter, CE Ruggiero, DA Oyen, KM Schaffer
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2016
12016
Discovering chemical structure in ChemCam targets using Gaussian graphical models: Compositional trends with depth
D Oyen, N Lanza, R Porter
Lunar and Planetary Institute Science Conference Abstracts, 2015
12015
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