Velimir V. Vesselinov

20 papers B 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
DPFEHM: a differentiable subsurface physics simulator.
J. Open Source Softw.
Daniel O'Malley, Sarah Y. Greer, Aleksandra Pachalieva, Wu Hao, Dylan Robert Harp, Velimir V. Vesselinov
2022 J jnl
GeoThermalCloud: Machine Learning for Geothermal Resource Exploration.
CoRR
Maruti Kumar Mudunuru, Velimir V. Vesselinov, Bulbul Ahmmed
2021 J jnl
A comparative study of machine learning models for predicting the state of reactive mixing.
J. Comput. Phys.
B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Velimir V. Vesselinov
2020 J jnl
A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing.
CoRR
B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Velimir V. Vesselinov
2020 — conf
Physics-Informed Machine Learning for Real-time Reservoir Management.
AAAI Spring Symposium: MLPS
Maruti Kumar Mudunuru, Daniel O'Malley, Shriram Srinivasan, Jeffrey D. Hyman, Matthew R. Sweeney, Luke Frash, Bill Carey, Michael R. Gross, Nathan J. Welch, Satish Karra, Velimir V. Vesselinov, Qinjun Kang, Hongwu Xu, Rajesh J. Pawar, Tim Carr, Liwei Li, George D. Guthrie, Hari S. Viswanathan
2019 J jnl
Learning to regularize with a variational autoencoder for hydrologic inverse analysis.
CoRR
Daniel O'Malley, John K. Golden, Velimir V. Vesselinov
2019 J jnl
Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers.
Stat. Anal. Data Min.
Boian S. Alexandrov, Valentin G. Stanev, Velimir V. Vesselinov, Kim Ø. Rasmussen
2019 J jnl
Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing.
J. Comput. Phys.
Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov
2018 J jnl
Identifying arbitrary parameter zonation using multiple level set functions.
J. Comput. Phys.
Zhiming Lu, Velimir V. Vesselinov, Hongzhuan Lei
2018 J jnl
Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices.
SIAM/ASA J. Uncertain. Quantification
Elizabeth Qian, Benjamin Peherstorfer, Daniel O'Malley, Velimir V. Vesselinov, Karen Willcox
2018 J jnl
Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing.
CoRR
Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov
2017 B conf
ADMM penalty parameter selection with krylov subspace recycling technique for sparse coding.
ICIP
Youzuo Lin, Brendt Wohlberg, Velimir V. Vesselinov
2017 J jnl
Nonnegative/binary matrix factorization with a D-Wave quantum annealer.
CoRR
Daniel O'Malley, Velimir V. Vesselinov, Boian S. Alexandrov, Ludmil B. Alexandrov
2016 J jnl
Machine learning approach for identification of release sources in advection-diffusion systems.
CoRR
Valentin G. Stanev, Filip L. Iliev, Velimir V. Vesselinov, Boian S. Alexandrov
2016 J jnl
Sources identification using shifted non-negative matrix factorization combined with semi-supervised clustering.
CoRR
Filip L. Iliev, Valentin G. Stanev, Velimir V. Vesselinov, Boian S. Alexandrov
2016 — conf
ToQ.jl: A high-level programming language for D-Wave machines based on Julia.
HPEC
Daniel O'Malley, Velimir V. Vesselinov
2014 J jnl
A Combined Probabilistic/Nonprobabilistic Decision Analysis for Contaminant Remediation.
SIAM/ASA J. Uncertain. Quantification
Daniel O'Malley, Velimir V. Vesselinov
2014 J jnl
A high-performance workflow system for subsurface simulation.
Environ. Model. Softw.
Vicky L. Freedman, Xingyuan Chen, Stefan Finsterle, Mark D. Freshley, Ian Gorton, Luke J. Gosink, Elizabeth H. Keating, Carina Lansing, William A. M. Moeglein, Christopher J. Murray, George Shu Heng Pau, Ellen Porter, Sumit Purohit, Mark Rockhold, Karen Schuchardt, Chandrika Sivaramakrishnan, Velimir V. Vesselinov, Scott R. Waichler
2012 J jnl
Adaptive hybrid optimization strategy for calibration and parameter estimation of physical process models.
Comput. Geosci.
Velimir V. Vesselinov, Dylan Robert Harp
2012 J jnl
An agent-based approach to global uncertainty and sensitivity analysis.
Comput. Geosci.
Dylan Robert Harp, Velimir V. Vesselinov