activity
20162020
most citedDeep learning electromagnetic inversion with convolutional neural networks

297 citations · 415 across the 9 of their papers we have counts for

collaborators

11 papers

physics.geo-ph2020★ 1 cited

Unsupervised seismic facies classification using deep convolutional autoencoder

Vladimir Puzyrev, Chris Elders

With the increased size and complexity of seismic surveys, manual labeling of seismic facies has become a significant challenge. Application of automatic methods for seismic facies…

physics.geo-ph2019★ 1 cited

Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks

Vladimir Puzyrev, Andrei Swidinsky

Inversion of electromagnetic data finds applications in many areas of geophysics. The inverse problem is commonly solved with either deterministic optimization methods (such as the…

cs.LG2019★ 1 cited

Deep convolutional autoencoder for cryptocurrency market analysis

Vladimir Puzyrev

This study attempts to analyze patterns in cryptocurrency markets using a special type of deep neural networks, namely a convolutional autoencoder. The method extracts the dominant…

physics.geo-ph2018★ 297 cited

Deep learning electromagnetic inversion with convolutional neural networks

Vladimir Puzyrev

Geophysical inversion attempts to estimate the distribution of physical properties in the Earth's interior from observations collected at or above the surface. Inverse problems are…

math.NA2018★ 1 cited

Optimal spectral approximation of -order differential operators by mixed isogeometric analysis

Quanling Deng, Vladimir Puzyrev, Victor Calo

We approximate the spectra of a class of -order differential operators using isogeometric analysis in mixed formulations. This class includes a wide range of differential opera…

math.NA2018

Isogeometric spectral approximation for elliptic differential operators

Quanling Deng, Vladimir Puzyrev, Victor Calo

We study the spectral approximation of a second-order elliptic differential eigenvalue problem that arises from structural vibration problems using isogeometric analysis. In this p…

math.NA2017

Efficient mass and stiffness matrix assembly via weighted Gaussian quadrature rules for B-splines

Michael Bartoň, Vladimir Puzyrev, Quanling Deng +1

Calabro et al. (2017) changed the paradigm of the mass and stiffness computation from the traditional element-wise assembly to a row-wise concept, showing that the latter one offer…

math.NA2017★ 30 cited

Spectral approximation properties of isogeometric analysis with variable continuity

Vladimir Puzyrev, Quanling Deng, Victor Calo

We study the spectral approximation properties of isogeometric analysis with local continuity reduction of the basis. Such continuity reduction results in a reduction in the interc…

math.NA2017★ 34 cited

Dispersion-minimizing quadrature rules for quadratic isogeometric analysis

Quanling Deng, Michael Bartoň, Vladimir Puzyrev +1

We develop quadrature rules for the isogeometric analysis of wave propagation and structural vibrations that minimize the discrete dispersion error of the approximation. The rules…

math.NA2017

Dispersion optimized quadratures for isogeometric analysis

Victor Calo, Quanling Deng, Vladimir Puzyrev

We develop and analyze quadrature blending schemes that minimize the dispersion error of isogeometric analysis up to polynomial order seven with maximum continuity in the span ($C^…

math.NA2016★ 50 cited

Dispersion-optimized quadrature rules for isogeometric analysis: modified inner products, their dispersion properties, and optimally blended schemes

Vladimir Puzyrev, Quanling Deng, Victor Calo

This paper introduces optimally-blended quadrature rules for isogeometric analysis and analyzes the numerical dispersion of the resulting discretizations. To quantify the approxima…