| The method of polarized traces for the 2D Helmholtz equation L Zepeda-Núnez, L Demanet Journal of Computational Physics 308, 347-388, 2016 | 84 | 2016 |
| 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 | 74 | 2019 |
| 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 | 50 | 2019 |
| 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 | 39 | 2022 |
| 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 | 39 | 2021 |
| 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 | 37 | 2020 |
| 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 | 33 | 2020 |
| 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 | 25 | 2016 |
| 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 | 23 | 2019 |
| 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 | 22 | 2017 |
| 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 | 20 | 2018 |
| 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 | 15 | 2018 |
| 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 | 13 | 2023 |
| 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 | 13 | 2023 |
| 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 | 12 | 2014 |
| 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 | 10 | 2023 |
| 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 | 9 | 2017 |
| 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 | 7 | 2022 |
| Accurate phylogenetic inference with a symmetry-preserving neural network model C Solis-Lemus, S Yang, L Zepeda-Nunez arXiv e-prints, arXiv: 2201.04663, 2022 | 7 | 2022 |
| 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 | 7 | 2016 |
Lin LinUniversity of California, Berkeley在 math.berkeley.edu 的电子邮件经过验证
