Mauricio Araya Polo

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TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Charlie FrognerPostdoctoral Associate, Massachusetts Institute of TechnologyVerified email at mit.edu
Raúl de la CruzRaytheon Technologies Research CenterVerified email at rtx.com
Amir AdlerAssociate Professor, Braude College of EngineeringVerified email at braude.ac.il
Chiyuan ZhangGoogle ResearchVerified email at google.com
Faruk Omer AlpakShell International Exploration and Production Inc., Rice UniversityVerified email at shell.com
Taylor DahlkeStanford UniversityVerified email at sep.stanford.edu
Mauricio HanzichHPC Software Engineering Group Leader - CASE - BSCVerified email at bsc.es
Hossein MobahiSenior Research Scientist @ GoogleVerified email at csail.mit.edu
Florian FrankMath2Market GmbHVerified email at math2market.de
Stuart Farris, PhDX, the moonshot factory | Stanford UniversityVerified email at stanford.edu
Christopher ThieleGraduate Student, Rice UniversityVerified email at rice.edu
Barbara ChapmanProfessor of Applied Mathematics and Statistics and Computer Science, Stony Brook UniversityVerified email at stonybrook.edu
Eduard AyguadeUniversitat Politecnica de Catalunya (UPC) and Barcelona Supercomputing Center (BSC)Verified email at ac.upc.edu
Miquel PericàsChalmers University of TechnologyVerified email at chalmers.se
Isaac GeladoNVIDIAVerified email at gelado.org
Beatrice RiviereNoah G. Harding Chair and Professor of Computational Applied Mathematics and Operations Research atVerified email at rice.edu
Manuel A. FlorezSchool of Physics, Universidad Industrial de SantanderVerified email at uis.edu.co
Javier Cabezas RodríguezPhD in Computer Architecture, Barcelona Supercomputing CenterVerified email at bsc.es
Max GrossmanCruiseVerified email at getcruise.com

Mauricio Araya Polo

TotalEnergies EP Research & Technology USA

Verified email at totalenergies.com

HPC code optimization seismic algorithms ML inversion


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning with a Wasserstein loss C Frogner, C Zhang, H Mobahi, M Araya, TA Poggio Advances in neural information processing systems 28, 2015	665	2015
Deep-learning tomography M Araya-Polo, J Jennings, A Adler, T Dahlke The Leading Edge 37 (1), 58-66, 2018	525	2018
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	291	2017
Automatic differentiation: applications, theory, and implementations M Bücker Springer, 2006	218	2006
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	104	2014
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	98	2021
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	98	2010
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	72	2009
Deep learning-driven velocity model building workflow SFMF Mauricio Araya-Polo The Leading Edge 38 (11), 872a1-872a9, 2019	69	2019
Automatic Differentiation: Applications, Theory, and Implementations M Bucker, G Corliss, P Hovland, U Naumann, B Norris Lecture Notes in Computational Science and Engineering 50, 2006	51	2006
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	36	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	36	2009
Algorithm 942: semi-stencil R De La Cruz, M Araya-Polo ACM Transactions on Mathematical Software (TOMS) 40 (3), 1-39, 2014	34	2014
The adjoint data-flow analyses: Formalization, properties, and applications L Hascoëet, M Araya-Polo Automatic Differentiation: Applications, Theory, and Implementations, 135-146, 2006	33	2006
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	32	2021
Deep learning: algorithms and applications W Pedrycz, SM Chen Springer, 2020	31	2020
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	31	2016
Evaluation of 3d rtm on hpc platforms F Ortigosa, M Araya-Polo, F Rubio, M Hanzich, R Cruz, JM Cela SEG Technical Program Expanded Abstracts 2008, 2879-2883, 2008	30	2008
Fast and Accurate Seismic Tomography via Deep Learning SFJJ Mauricio Araya-Polo, Amir Adler Deep Learning: Algorithms and Applications 865, 129-156, 2020	29	2020
Deep recurrent architectures for seismic tomography A Adler, M Araya-Polo, T Poggio 81st EAGE conference and exhibition 2019 2019 (1), 1-5, 2019	29	2019

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