Tariq Alkhalifah
Orcid: 0000-0002-9363-9799
According to our database1,
Tariq Alkhalifah
authored at least 42 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
J. Comput. Phys., March, 2024
IEEE Trans. Geosci. Remote. Sens., 2024
Microseismic Source Imaging Using Physics-Informed Neural Networks With Hard Constraints.
IEEE Trans. Geosci. Remote. Sens., 2024
CoRR, 2024
2023
IEEE Trans. Geosci. Remote. Sens., 2023
An Anisotropic Waveform Inversion Using an Optimal Transport Matching Filter Objective: An Application to an Offshore Field Dataset.
IEEE Trans. Geosci. Remote. Sens., 2023
Self-Supervised Pretraining Vision Transformer With Masked Autoencoders for Building Subsurface Model.
IEEE Trans. Geosci. Remote. Sens., 2023
Elastic Seismic Imaging Enhancement of Sparse 4C Ocean-Bottom Node Data Using Deep Learning.
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Well-Log Information-Assisted High-Resolution Waveform Inversion Based on Deep Learning.
IEEE Geosci. Remote. Sens. Lett., 2023
GaborPINN: Efficient Physics-Informed Neural Networks Using Multiplicative Filtered Networks.
IEEE Geosci. Remote. Sens. Lett., 2023
Optimizing a Transformer-based network for a deep learning seismic processing workflow.
CoRR, 2023
CoRR, 2023
PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks.
CoRR, 2023
LatentPINNs: Generative physics-informed neural networks via a latent representation learning.
CoRR, 2023
2022
Laplace HypoPINN: physics-informed neural network for hypocenter localization and its predictive uncertainty.
Mach. Learn. Sci. Technol., December, 2022
Data-Driven Microseismic Event Localization: An Application to the Oklahoma Arkoma Basin Hydraulic Fracturing Data.
IEEE Trans. Geosci. Remote. Sens., 2022
Upwind, No More: Flexible Traveltime Solutions Using Physics-Informed Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Multi-Task Learning for Low-Frequency Extrapolation and Elastic Model Building From Seismic Data.
IEEE Trans. Geosci. Remote. Sens., 2022
Target-Oriented Time-Lapse Elastic Full-Waveform Inversion Constrained by Deep Learning-Based Prior Model.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Enhancing Low-Wavenumber Information in Reflection Waveform Inversion by the Energy Norm Born Scattering.
IEEE Geosci. Remote. Sens. Lett., 2022
Single Reference Frequency Loss for Multifrequency Wavefield Representation Using Physics-Informed Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2022
Frontiers Artif. Intell., 2022
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion.
CoRR, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Comput. Geosci., 2021
PINNup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting.
CoRR, 2021
The potential of self-supervised networks for random noise suppression in seismic data.
CoRR, 2021
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning.
CoRR, 2021
2020
Joint Minimization of the Mean and Information Entropy of the Matching Filter Distribution for a Robust Misfit Function in Full-Waveform Inversion.
IEEE Trans. Geosci. Remote. Sens., 2020
IEEE Trans. Geosci. Remote. Sens., 2020
ML-misfit: Learning a robust misfit function for full-waveform inversion using machine learning.
CoRR, 2020
CoRR, 2020
2019
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
A new full waveform inversion method based on shifted correlation of the envelope and its implementation based on OPENCL.
Comput. Geosci., 2019
2018
A highly accurate finite-difference method with minimum dispersion error for solving the Helmholtz equation.
J. Comput. Phys., 2018
2015
J. Comput. Phys., 2015