Ikuti
Mauricio Araya Polo
Mauricio Araya Polo
TotalEnergies EP Research & Technology USA
Email yang diverifikasi di totalenergies.com
Judul
Dikutip oleh
Dikutip oleh
Tahun
Learning with a Wasserstein loss
C Frogner, C Zhang, H Mobahi, M Araya, TA Poggio
Advances in neural information processing systems 28, 2015
7662015
Deep-learning tomography
M Araya-Polo, J Jennings, A Adler, T Dahlke
The Leading Edge 37 (1), 58-66, 2018
5952018
Automated fault detection without seismic processing
M Araya-Polo, T Dahlke, C Frogner, C Zhang, T Poggio, D Hohl
The Leading Edge 36 (3), 208-214, 2017
3102017
Automatic differentiation: applications, theory, and implementations
M Bücker
Springer, 2006
2212006
Deep learning for seismic inverse problems: Toward the acceleration of geophysical analysis workflows
A Adler, M Araya-Polo, T Poggio
IEEE signal processing magazine 38 (2), 89-119, 2021
1352021
Machine-learning based automated fault detection in seismic traces
C Zhang, C Frogner, M Araya-Polo, D Hohl
76th EAGE Conference and Exhibition 2014 2014 (1), 1-5, 2014
1092014
Assessing accelerator-based HPC reverse time migration
M Araya-Polo, J Cabezas, M Hanzich, M Pericas, F Rubio, I Gelado, ...
IEEE Transactions on Parallel and Distributed Systems 22 (1), 147-162, 2010
972010
Deep learning-driven velocity model building workflow
SFMF Mauricio Araya-Polo
The Leading Edge 38 (11), 872a1-872a9, 2019
852019
3D seismic imaging through reverse‐time migration on homogeneous and heterogeneous multi‐core processors
M Araya-Polo, F Rubio, R De la Cruz, M Hanzich, JM Cela, DP Scarpazza
Scientific Programming 17 (1-2), 185-198, 2009
752009
Deep learning–driven permeability estimation from 2D images
M Araya-Polo, FO Alpak, S Hunter, R Hofmann, N Saxena
Computational Geosciences 24 (2), 571-580, 2020
492020
Deep learning: algorithms and applications
W Pedrycz, SM Chen
Springer, 2020
452020
Deep learning joint inversion of seismic and electromagnetic data for salt reconstruction
Y Sun, B Denel, N Daril, L Evano, P Williamson, M Araya-Polo
SEG Technical Program Expanded Abstracts 2020, 550-554, 2020
412020
Algorithm 942: semi-stencil
R De La Cruz, M Araya-Polo
ACM Transactions on Mathematical Software (TOMS) 40 (3), 1-39, 2014
392014
Deep recurrent architectures for seismic tomography
A Adler, M Araya-Polo, T Poggio
81st EAGE conference and exhibition 2019 2019 (1), 1-5, 2019
362019
Minibatch least-squares reverse time migration in a deep-learning framework
J Vamaraju, J Vila, M Araya-Polo, D Datta, M Sidahmed, MK Sen
Geophysics 86 (2), S125-S142, 2021
342021
Fast and Accurate Seismic Tomography via Deep Learning
SFJJ Mauricio Araya-Polo, Amir Adler
Deep Learning: Algorithms and Applications 865, 129-156, 2020
34*2020
Exploiting memory customization in FPGA for 3D stencil computations
M Shafiq, M Pericas, R De la Cruz, M Araya-Polo, N Navarro, E Ayguadé
2009 International Conference on Field-Programmable Technology, 38-45, 2009
342009
A survey of sparse matrix-vector multiplication performance on large matrices
M Grossman, C Thiele, M Araya-Polo, F Frank, FO Alpak, V Sarkar
arXiv preprint arXiv:1608.00636, 2016
322016
Automatic differentiation: applications, theory and implementations
International Conference on Automatic Differentiation, M Bucker
Springer, 2006
322006
Introducing the Semi-stencil Algorithm
R De La Cruz, M Araya-Polo, JM Cela
Parallel Processing and Applied Mathematics: 8th International Conference …, 2010
312010
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