4.7 Article

Applying a stochastic quasi-Newton optimizer to least-squares reverse time migration

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Geochemistry & Geophysics

Minibatch least-squares reverse time migration in a deep-learning framework

Janaki Vamaraju et al.

Summary: The research utilized a deep-learning framework and strategies from the data science domain to accelerate the evolution of migration techniques, thereby reducing the computational cost associated with LSRTM iterations. By combining minibatch gradients, deep-learning optimizers, and loss functions, the method improved the efficiency of LSRTM.

GEOPHYSICS (2021)

Article Computer Science, Software Engineering

Architecture and Performance of Devito, a System for Automated Stencil Computation

Fabio Luporini et al.

ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE (2020)

Article Geochemistry & Geophysics

Time-domain sparsity promoting least-squares reverse time migration with source estimation

Mengmeng Yang et al.

GEOPHYSICAL PROSPECTING (2020)

Article Geosciences, Multidisciplinary

Devito (v3.1.0): an embedded domain-specific language for finite differences and geophysical exploration

Mathias Louboutin et al.

GEOSCIENTIFIC MODEL DEVELOPMENT (2019)

Article Mathematics, Applied

Optimization Methods for Large-Scale Machine Learning

Leon Bottou et al.

SIAM REVIEW (2018)

Article Computer Science, Artificial Intelligence

Stochastic Training of Neural Networks via Successive Convex Approximations

Simone Scardapane et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Review Statistics & Probability

Variational Inference: A Review for Statisticians

David M. Blei et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2017)

Article Mathematics, Applied

STOCHASTIC QUASI-NEWTON METHOD FOR NONCONVEX STOCHASTIC OPTIMIZATION

Xiao Wang et al.

SIAM JOURNAL ON OPTIMIZATION (2017)

Article Mathematics, Applied

A STOCHASTIC QUASI-NEWTON METHOD FOR LARGE-SCALE OPTIMIZATION

R. H. Byrd et al.

SIAM JOURNAL ON OPTIMIZATION (2016)

Article Geochemistry & Geophysics

An approximate inverse to the extended Born modeling operator

Jie Hou et al.

GEOPHYSICS (2015)

Review Multidisciplinary Sciences

Probabilistic machine learning and artificial intelligence

Zoubin Ghahramani

NATURE (2015)

Article Engineering, Electrical & Electronic

RES: Regularized Stochastic BFGS Algorithm

Aryan Mokhtari et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)

Article Computer Science, Artificial Intelligence

The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations

Dirk A. Lorenz et al.

SIAM JOURNAL ON IMAGING SCIENCES (2014)

Article Geochemistry & Geophysics

Multi-source least-squares reverse time migration

Wei Dai et al.

GEOPHYSICAL PROSPECTING (2012)

Article Mathematics, Applied

ON THE USE OF STOCHASTIC HESSIAN INFORMATION IN OPTIMIZATION METHODS FOR MACHINE LEARNING

Richard H. Byrd et al.

SIAM JOURNAL ON OPTIMIZATION (2011)

Article Geochemistry & Geophysics

Seismic Wave formInversion by Stochastic Optimization

Tristan van Leeuwen et al.

INTERNATIONAL JOURNAL OF GEOPHYSICS (2011)

Article Geochemistry & Geophysics

Least-squares attenuation of reverse-time-migration artifacts

Antoine Guitton et al.

GEOPHYSICS (2007)

Review Geochemistry & Geophysics

A review of the adjoint-state method for computing the gradient of a functional with geophysical applications

R. -E. Plessix

GEOPHYSICAL JOURNAL INTERNATIONAL (2006)

Article Geochemistry & Geophysics

Reverse-time migration using the Poynting vector

Kwangjin Yoon et al.

EXPLORATION GEOPHYSICS (2006)