Diane Oyen

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Juan CastorenaLos Alamos National LaboratoriesVerified email at lanl.gov
Nishant PandaInformation Sciences, CCS-3, Los Alamos National LabVerified email at lanl.gov
Michal KucerStaff Scientist, Los Alamos National LaboratoryVerified email at rit.edu
Heather Terran Laneathenahealth, Inc.Verified email at illation.net
Nina L LanzaLos Alamos National LaboratoryVerified email at lanl.gov
Brendt WohlbergLos Alamos National LaboratoryVerified email at lanl.gov
Jian WuAssistant Professor of Computer Science, Old Dominion UniversityVerified email at cs.odu.edu
Gowri SrinivasanLos Alamos National LaboratoryVerified email at lanl.gov
Liping YangAssistant Professor of Geographic Information Science and Computer Science, University of New MexicoVerified email at unm.edu
Cory B. ScottAssistant Professor of Computer Science, Colorado CollegeVerified email at coloradocollege.edu
Patrick J. GasdaLos Alamos National LaboratoryVerified email at lanl.gov
M. Giselle Fernández-GodinoResearch Scientist, Deputy Director DSICS, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Natalie KleinLos Alamos National LaboratoryVerified email at lanl.gov
Praneeth NetrapalliGoogle ResearchVerified email at google.com
Michael (Misha) ChertkovChair, Program in Applied Mathematics, University of ArizonaVerified email at math.arizona.edu
Weihong "Grace" GuoIndustrial and Systems Engineering at Rutgers UniversityVerified email at rutgers.edu
Xiaowei YUETsinghua UniversityVerified email at vt.edu
Yinan WangRensselaer Polytechnic InstituteVerified email at rpi.edu
Blake AndersonCiscoVerified email at cisco.com
Kehinde AjayiOld Dominion UniversityVerified email at odu.edu

Diane Oyen

Los Alamos National Laboratory

Verified email at cs.unm.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Quantum algorithm implementations for beginners A Adedoyin, J Ambrosiano, P Anisimov, W Casper, G Chennupati, ... arXiv preprint arXiv:1804.03719, 2018	193	2018
Quantum algorithm implementations for beginners PJ Coles, S Eidenbenz, S Pakin, A Adedoyin, J Ambrosiano, P Anisimov, ... arXiv, arXiv: 1804.03719, 2018	147	2018
StressNet-Deep learning to predict stress with fracture propagation in brittle materials Y Wang, D Oyen, W Guo, A Mehta, CB Scott, N Panda, ... Npj Materials Degradation 5 (1), 6, 2021	67	2021
Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning D Oyen, T Lane Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012	48	2012
Deep spectral CNN for laser induced breakdown spectroscopy J Castorena, D Oyen, A Ollila, C Legett, N Lanza Spectrochimica Acta Part B: Atomic Spectroscopy 178, 106125, 2021	41	2021
DeepPatent: Large scale patent drawing recognition and retrieval M Kucer, D Oyen, J Castorena, J Wu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022	32	2022
Bayesian discovery of multiple Bayesian networks via transfer learning D Oyen, T Lane IEEE 13th International Conference on Data Mining, 2013	29	2013
Bayesian networks with prior knowledge for malware phylogenetics D Oyen, B Anderson, C Anderson-Cook Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016	22	2016
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	20	2019
Learning planar Ising models JK Johnson, D Oyen, M Chertkov, P Netrapalli Journal of Machine Learning Research 17 (214), 1-26, 2016	19	2016
Diagram image retrieval using sketch-based deep learning and transfer learning M Bhattarai, D Oyen, J Castorena, L Yang, B Wohlberg Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	17	2020
Transfer learning for Bayesian discovery of multiple Bayesian networks D Oyen, T Lane Knowledge and Information Systems 43, 1-28, 2015	17	2015
Quantum algorithm implementations for beginners (2018) PJ Coles, S Eidenbenz, S Pakin, A Adedoyin, J Ambrosiano, P Anisimov, ... arXiv preprint arXiv:1804.03719, 1804	13	1804
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	12	2020
Robustness to Label Noise Depends on the Shape of the Noise Distribution D Oyen, M Kucer, N Hengartner, HS Singh Advances in Neural Information Processing Systems, 2022	11*	2022
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	11	2019
MAMA User Guide v2. 0.1 BK Gaschen, JJ Bloch, R Porter, CE Ruggiero, DA Oyen, KM Schaffer Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2016	10	2016
VisHash: visual similarity preserving image hashing for diagram retrieval D Oyen, M Kucer, B Wohlberg Applications of machine learning 2021 11843, 50-66, 2021	9	2021
Visual descriptor extraction from patent figure captions: A case study of data efficiency between BiLSTM and transformer X Wei, J Wu, K Ajayi, D Oyen Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, 1-5, 2022	8	2022
Quantum algorithm implementations for beginners, 2018 J Abhijith, A Adedoyin, J Ambrosiano, P Anisimov, A Bärtschi, W Casper, ... URL https://arxiv. org/abs, 1804	8	1804

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