Author of the publication

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

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

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)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)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)Machine learning approach for identification of release sources in advection-diffusion systems.V. Stanev, F. Iliev, V. Vesselinov, and B. Alexandrov. CoRR, (2016)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)

PUMA

Disambiguation of "Vesselinov, Velimir V."

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

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
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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