Leonardo Zepeda-Núñez

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 33

Top Topics

Diffusion Models

Top Venues

J. Comput. Phys.

Multiscale Model. Simul.

SIAM J. Sci. Comput.

Publications

Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems. CoRR (2024)
Borong Zhang, Leonardo Zepeda-Núñez, Qin Li
Solving the wide-band inverse scattering problem via equivariant neural networks. J. Comput. Appl. Math. 451 (2024)
Zhong Yi Wan, Ricardo Baptista, Yi-Fan Chen, John Anderson, Anudhyan Boral, Fei Sha, Leonardo Zepeda-Núñez
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models. CoRR (2023)
Zhong Yi Wan, Leonardo Zepeda-Núñez, Anudhyan Boral, Fei Sha
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems. ICLR (2023)
Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez
Efficient long-range convolutions for point clouds. J. Comput. Phys. 473 (2023)
Zhong Yi Wan, Ricardo Baptista, Anudhyan Boral, Yi-Fan Chen, John Anderson, Fei Sha, Leonardo Zepeda-Núñez
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models. NeurIPS (2023)
Shi Chen, Zhiyan Ding, Qin Li, Leonardo Zepeda-Núñez
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville. SIAM J. Imaging Sci. 16 (1) (2023)
Marc Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Núñez
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems. CoRR (2023)
Marc Anton Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Núñez
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems. ICML (2023)
Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
Learning to correct spectral methods for simulating turbulent flows. Trans. Mach. Learn. Res. 2023 (2023)
Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang, Yi-Fan Chen, John Anderson, Fei Sha
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. NeurIPS (2023)
Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang, Yi-Fan Chen, John Robert Anderson, Fei Sha
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. CoRR (2023)
Zhong Yi Wan, Leonardo Zepeda-Núñez, Anudhyan Boral, Fei Sha
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems. CoRR (2023)
Shi Chen, Zhiyan Ding, Qin Li, Leonardo Zepeda-Núñez
High-frequency limit of the inverse scattering problem: asymptotic convergence from inverse Helmholtz to inverse Liouville. CoRR (2022)
Borong Zhang, Leonardo Zepeda-Núñez, Qin Li
Solving the Wide-band Inverse Scattering Problem via Equivariant Neural Networks. CoRR (2022)
Gideon Dresdner, Dmitrii Kochkov, Peter Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
Learning to correct spectral methods for simulating turbulent flows. CoRR (2022)
Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez
Wide-Band Butterfly Network: Stable and Efficient Inversion Via Multi-Frequency Neural Networks. Multiscale Model. Simul. 20 (4) (2022)
Tan Bui-Thanh, Qin Li, Leonardo Zepeda-Núñez
Bridging and Improving Theoretical and Computational Electrical Impedance Tomography via Data Completion. SIAM J. Sci. Comput. 44 (3) (2022)
Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin
Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks. J. Comput. Phys. 443 (2021)
Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez
Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime. CoRR (2021)
Tan Bui-Thanh, Qin Li, Leonardo Zepeda-Núñez
Bridging and Improving Theoretical and Computational Electric Impedance Tomography via Data Completion. CoRR (2021)
Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks. CoRR (2020)
Matthias Taus, Leonardo Zepeda-Núñez, Russell J. Hewett, Laurent Demanet
L-Sweeps: A scalable, parallel preconditioner for the high-frequency Helmholtz equation. J. Comput. Phys. 420 (2020)
Jiefu Zhang, Leonardo Zepeda-Núñez, Yuan Yao, Lin Lin
Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of finding the needle in a haystack. CoRR (2020)
Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez
Efficient Long-Range Convolutions for Point Clouds. CoRR (2020)
Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin
Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks. CoRR (2019)
Lin Lin, Leonardo Zepeda-Núñez
Projection-Based Embedding Theory for Solving Kohn-Sham Density Functional Theory. Multiscale Model. Simul. 17 (4) (2019)
Yuwei Fan, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez
A Multiscale Neural Network Based on Hierarchical Matrices. Multiscale Model. Simul. 17 (4) (2019)
Matthias Taus, Leonardo Zepeda-Núñez, Russell J. Hewett, Laurent Demanet
L-Sweeps: A scalable, parallel preconditioner for the high-frequency Helmholtz equation. CoRR (2019)
Jun Fang, Jianliang Qian, Leonardo Zepeda-Núñez, Hongkai Zhao
A hybrid approach to solve the high-frequency Helmholtz equation with source singularity in smooth heterogeneous media. J. Comput. Phys. 371 (2018)
Leonardo Zepeda-Núñez, Laurent Demanet
Nested Domain Decomposition with Polarized Traces for the 2D Helmholtz Equation. SIAM J. Sci. Comput. 40 (3) (2018)
Leonardo Zepeda-Núñez, Laurent Demanet
The method of polarized traces for the 2D Helmholtz equation. J. Comput. Phys. 308 (2016)
Leonardo Zepeda-Núñez, Hongkai Zhao
Fast Alternating BiDirectional Preconditioner for the 2D High-Frequency Lippmann-Schwinger Equation. SIAM J. Sci. Comput. 38 (5) (2016)