3 citations · 4 across the 4 of their papers we have counts for
4 papers
A practical implementation of data-space Hessian in the time-domain extended-source full-waveform inversion
Gaoshan Guo, Stephane Operto, Ali Gholami +1
Full-waveform inversion (FWI) with extended sources first computes wavefields with data-driven source extensions, such that the simulated data in inaccurate velocity models match t…
Full waveform inversion beyond the Born approximation: A tutorial review
Stephane Operto, Ali Gholami, Hossein S. Aghamiry +3
Full Waveform Inversion can be made immune to cycle skipping by matching the recorded data arbitrarily well from inaccurate subsurface models. To achieve this goal, the simulated w…
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness
Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani +4
Batch normalization (BN) is a ubiquitous technique for training deep neural networks that accelerates their convergence to reach higher accuracy. However, we demonstrate that BN co…
Automatic balancing parameter selection for Tikhonov-TV regularization
Ali Gholami, Silvia Gazzola
This paper considers large-scale linear ill-posed inverse problems whose solutions can be represented as sums of smooth and piecewise constant components. To solve such problems we…