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Leonardo Zepeda-Núñez
Leonardo Zepeda-Núñez
Sonstige NamenLeonardo Zepeda-Nunez
Google Research and University of Wisconsin-Madison
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
The method of polarized traces for the 2D Helmholtz equation
L Zepeda-Núnez, L Demanet
Journal of Computational Physics 308, 347-388, 2016
862016
A multiscale neural network based on hierarchical matrices
Y Fan, L Lin, L Ying, L Zepeda-Núnez
Multiscale Modeling & Simulation 17 (4), 1189-1213, 2019
742019
A multiscale neural network based on hierarchical nested bases
Y Fan, J Feliu-Faba, L Lin, L Ying, L Zepeda-Núnez
Research in the Mathematical Sciences 6 (2), 21, 2019
492019
Learning to correct spectral methods for simulating turbulent flows
G Dresdner, D Kochkov, P Norgaard, L Zepeda-Núñez, JA Smith, ...
arXiv preprint arXiv:2207.00556, 2022
362022
L-Sweeps: A scalable, parallel preconditioner for the high-frequency Helmholtz equation
M Taus, L Zepeda-Núñez, RJ Hewett, L Demanet
Journal of Computational Physics 420, 109706, 2020
362020
Efficient hybridization fitting for dynamical mean-field theory via semi-definite relaxation
C Mejuto-Zaera, L Zepeda-Núñez, M Lindsey, N Tubman, B Whaley, L Lin
Physical Review B 101 (3), 035143, 2020
332020
Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks
L Zepeda-Núñez, Y Chen, J Zhang, W Jia, L Zhang, L Lin
Journal of Computational Physics 443, 110523, 2021
322021
Fast alternating bidirectional preconditioner for the 2D high-frequency Lippmann--Schwinger equation
L Zepeda-Núnez, H Zhao
SIAM Journal on Scientific Computing 38 (5), B866-B888, 2016
242016
The method of polarized traces for the 3D Helmholtz equation
L Zepeda-Núnez, A Scheuer, RJ Hewett, L Demanet
Geophysics 84 (4), T313-T333, 2019
232019
Learning dominant wave directions for plane wave methods for high-frequency Helmholtz equations
J Fang, J Qian, L Zepeda-Núñez, H Zhao
Research in the Mathematical Sciences 4, 1-35, 2017
202017
Nested domain decomposition with polarized traces for the 2D Helmholtz equation
L Zepeda-Núñez, L Demanet
SIAM Journal on Scientific Computing 40 (3), B942-B981, 2018
192018
A hybrid approach to solve the high-frequency Helmholtz equation with source singularity in smooth heterogeneous media
J Fang, J Qian, L Zepeda-Núñez, H Zhao
Journal of Computational Physics 371, 261-279, 2018
152018
Preconditioning the 2D Helmholtz equation with polarized traces
L Zepeda-Núnez, RJ Hewett, L Demanet
SEG International Exposition and Annual Meeting, SEG-2014-1275, 2014
122014
Evolve smoothly, fit consistently: Learning smooth latent dynamics for advection-dominated systems.
ZY Wan, L Zepeda-Nunez, A Boral, F Sha
The Eleventh International Conference on Learning Representations, 2023
112023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
ZY Wan, R Baptista, A Boral, YF Chen, J Anderson, F Sha, ...
Thirty-seventh Conference on Neural Information Processing Systems, 2023
82023
Pollution-free and fast hybridizable discontinuous Galerkin solvers for the high-frequency Helmholtz equation
M Taus, L Demanet, LZ Núñez, R Hewett
SEG Technical Program Expanded Abstracts 2017, 4068-4073, 2017
82017
User-defined event sampling and uncertainty quantification in diffusion models for physical dynamical systems
MA Finzi, A Boral, AG Wilson, F Sha, L Zepeda-Núñez
International Conference on Machine Learning, 10136-10152, 2023
72023
Accurate phylogenetic inference with a symmetry-preserving neural network model
C Solis-Lemus, S Yang, L Zepeda-Nunez
arXiv preprint arXiv:2201.04663, 2022
72022
A short note on a fast and high-order hybridizable discontinuous Galerkin solver for the 2D high-frequency Helmholtz equation
M Taus, L Demanet, LZ Nunez
SEG Technical Program Expanded Abstracts 2016, 3835-3840, 2016
72016
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks
M Li, L Demanet, L Zepeda-Núñez
Multiscale Modeling & Simulation 20 (4), 1191-1227, 2022
62022
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