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Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing.

V. Vesselinov, M. Mudunuru, S. Karra, D. O'Malley, and B. Alexandrov. J. Comput. Physics, (2019)

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V. Vaikuntanathan

V. Zaverkin

Michael P. Voigt Universität Stuttgart

Wolfgang Vogel

Christopher Voss University of Stuttgart

Other publications of authors with the same name

A high-performance workflow system for subsurface simulation.V. Freedman, X. Chen, S. Finsterle, M. Freshley, I. Gorton, L. Gosink, E. Keating, C. Lansing, W. Moeglein, C. Murray and 8 other author(s). Environmental Modelling and Software, (2014)Machine learning approach for identification of release sources in advection-diffusion systems.V. Stanev, F. Iliev, V. Vesselinov, and B. Alexandrov. CoRR, (2016)Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices.E. Qian, B. Peherstorfer, D. O'Malley, V. Vesselinov, and K. Willcox. SIAM/ASA J. Uncertain. Quantification, 6 (2): 683-706 (2018)Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing.V. Vesselinov, M. Mudunuru, S. Karra, D. O'Malley, and B. Alexandrov. J. Comput. Physics, (2019)Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing.V. Vesselinov, M. Mudunuru, S. Karra, D. O'Malley, and B. Alexandrov. CoRR, (2018)An agent-based approach to global uncertainty and sensitivity analysis.D. Harp, and V. Vesselinov. Computers & Geosciences, (2012)Nonnegative/binary matrix factorization with a D-Wave quantum annealer.D. O'Malley, V. Vesselinov, B. Alexandrov, and L. Alexandrov. CoRR, (2017)Sources identification using shifted non-negative matrix factorization combined with semi-supervised clustering.F. Iliev, V. Stanev, V. Vesselinov, and B. Alexandrov. CoRR, (2016)Identifying arbitrary parameter zonation using multiple level set functions.Z. Lu, V. Vesselinov, and H. Lei. J. Comput. Physics, (2018)Learning to regularize with a variational autoencoder for hydrologic inverse analysis.D. O'Malley, J. Golden, and V. Vesselinov. CoRR, (2019)

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Disambiguation of "Vesselinov, Velimir V."

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Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing.

Please choose a person to relate this publication to

V. Vaikuntanathan

V. Zaverkin

Michael P. Voigt Universität Stuttgart

Wolfgang Vogel

Christopher Voss University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Vesselinov, Velimir V."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing.

Please choose a person to relate this publication to

V. Vaikuntanathan

V. Zaverkin

Michael P. Voigt Universität Stuttgart

Wolfgang Vogel

Christopher Voss University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
Harvard
MSOffice XML

Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing.