Velimir V. Vesselinov

Orcid: 0000-0002-6222-0530

According to our database1, Velimir V. Vesselinov authored at least 18 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
DPFEHM: a differentiable subsurface physics simulator.
J. Open Source Softw., October, 2023

2022
GeoThermalCloud: Machine Learning for Geothermal Resource Exploration.
CoRR, 2022

2021
A comparative study of machine learning models for predicting the state of reactive mixing.
J. Comput. Phys., 2021

2020
Physics-Informed Machine Learning for Real-time Reservoir Management.
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019
Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers.
Stat. Anal. Data Min., 2019

Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing.
J. Comput. Phys., 2019

Learning to regularize with a variational autoencoder for hydrologic inverse analysis.
CoRR, 2019

2018
Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices.
SIAM/ASA J. Uncertain. Quantification, 2018

Identifying arbitrary parameter zonation using multiple level set functions.
J. Comput. Phys., 2018

2017
Nonnegative/binary matrix factorization with a D-Wave quantum annealer.
CoRR, 2017

ADMM penalty parameter selection with krylov subspace recycling technique for sparse coding.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Machine learning approach for identification of release sources in advection-diffusion systems.
CoRR, 2016

Sources identification using shifted non-negative matrix factorization combined with semi-supervised clustering.
CoRR, 2016

ToQ.jl: A high-level programming language for D-Wave machines based on Julia.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

2014
A Combined Probabilistic/Nonprobabilistic Decision Analysis for Contaminant Remediation.
SIAM/ASA J. Uncertain. Quantification, 2014

A high-performance workflow system for subsurface simulation.
Environ. Model. Softw., 2014

2012
Adaptive hybrid optimization strategy for calibration and parameter estimation of physical process models.
Comput. Geosci., 2012

An agent-based approach to global uncertainty and sensitivity analysis.
Comput. Geosci., 2012


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