Tariq Alkhalifah

Orcid: 0000-0002-9363-9799

According to our database1, Tariq Alkhalifah authored at least 48 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Efficient physics-informed neural networks using hash encoding.
J. Comput. Phys., March, 2024

Learnable Gabor Kernels in Convolutional Neural Networks for Seismic Interpretation Tasks.
IEEE Trans. Geosci. Remote. Sens., 2024

Gabor-Based Learnable Sparse Representation for Self-Supervised Denoising.
IEEE Trans. Geosci. Remote. Sens., 2024

Microseismic Source Imaging Using Physics-Informed Neural Networks With Hard Constraints.
IEEE Trans. Geosci. Remote. Sens., 2024

Ensemble Deep Learning for Enhanced Seismic Data Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2024

Physics-informed neural wavefields with Gabor basis functions.
Neural Networks, 2024

Multiple Wavefield Solutions in Physics-Informed Neural Networks Using Latent Representation.
IEEE Geosci. Remote. Sens. Lett., 2024

Propagating the prior from shallow to deep with a pre-trained velocity-model Generative Transformer network.
CoRR, 2024

Diffusion-based subsurface multiphysics monitoring and forecasting.
CoRR, 2024

Controllable seismic velocity synthesis using generative diffusion models.
CoRR, 2024

2023
A Prior Regularized Full Waveform Inversion Using Generative Diffusion Models.
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

Integrating U-Nets Into a Multiscale Full-Waveform Inversion for Salt Body Building.
IEEE Trans. Geosci. Remote. Sens., 2023

Improving the Generalization of Deep Neural Networks in Seismic Resolution Enhancement.
IEEE Geosci. Remote. Sens. Lett., 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

Joint Microseismic Event Detection and Location with a Detection Transformer.
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

Wavefield Reconstruction Inversion via Physics-Informed Neural Networks.
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

StorSeismic: A New Paradigm in Deep Learning for Seismic Processing.
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

Direct domain adaptation through reciprocal linear transformations.
Frontiers Artif. Intell., 2022

Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion.
CoRR, 2022

Transfer learning for self-supervised, blind-spot seismic denoising.
CoRR, 2022

Direct Imaging Using Physics Informed Neural Networks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
PINNeik: Eikonal solution using physics-informed neural networks.
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

Efficient Wavefield Inversion With Outer Iterations and Total Variation Constraint.
IEEE Trans. Geosci. Remote. Sens., 2020

ML-misfit: Learning a robust misfit function for full-waveform inversion using machine learning.
CoRR, 2020

A data-driven choice of misfit function for FWI using reinforcement learning.
CoRR, 2020

2019
Microseismic Event Estimation Based on an Efficient Wavefield Inversion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

A partial-low-rank method for solving acoustic wave equation.
J. Comput. Phys., 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
Efficient traveltime solutions of the acoustic TI eikonal equation.
J. Comput. Phys., 2015


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