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most citedEnsemble Deep Learning for enhanced seismic data reconstruction

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2025

Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations

Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah

Physics-Informed Neural Networks (PINNs) have shown promise in solving partial differential equations (PDEs), including the frequency-domain Helmholtz equation. However, standard t…

physics.geo-ph2025

Gabor-Enhanced Physics-Informed Neural Networks for Fast Simulations of Acoustic Wavefields

Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah

Physics-Informed Neural Networks (PINNs) have gained attention for solving partial differential equations, including the scattered Helmholtz equation, due to their flexibility and…