Automatic migration velocity analysis via deep learning

Rayleigh wave equations with couple stress: Modeling and dispersion characteristic

Elastic isotropic and anisotropic full-waveform inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks

Automatic velocity picking from semblances with a new deep-learning regression strategy: Comparison with a classification approach

Blind sparse-spike deconvolution with thin layers and structure

Can learning from natural image denoising be used for seismic data interpolation?

Off-the-grid vertical seismic profile data regularization by a compressive sensing method

Velocity model building in a crosswell acquisition geometry with image-trained artificial neural networks

Deep learning for denoising

Denoising with weak signal preservation by group-sparsity transform learning

Deep-learning inversion: A next-generation seismic velocity model building method

A nonstationary sparse spike deconvolution with anelastic attenuation

Line survey joint denoising via low-rank minimization

Sparse graph-regularized dictionary learning for suppressing random seismic noise

Intelligent interpolation by Monte Carlo machine learning

Noise attenuation in a low-dimensional manifold

What can machine learning do for seismic data processing? An interpolation application

Asymmetric chirplet transform — Part 2: Phase, frequency, and chirp rate

Splitting algorithms for the high-order compact finite-difference schemes in wave-equation modeling

Monte Carlo data-driven tight frame for seismic data recovery