Leonardo Zepeda-Núñez

According to our database, Leonardo Zepeda-Núñez authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Solving the wide-band inverse scattering problem via equivariant neural networks.

Borong Zhang, Leonardo Zepeda-Núñez, Qin Li

J. Comput. Appl. Math., 2024

Dynamical-generative downscaling of climate model ensembles.

Ignacio Lopez-Gomez, Zhong Yi Wan, Leonardo Zepeda-Núñez, Tapio Schneider, John R. Anderson, Fei Sha

CoRR, 2024

Generative AI for fast and accurate Statistical Computation of Fluids.

Roberto Molinaro, Samuel Lanthaler, Bogdan Raonic, Tobias Rohner, Victor Armegioiu, Zhong Yi Wan, Fei Sha, Siddhartha Mishra, Leonardo Zepeda-Núñez

CoRR, 2024

Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme.

Shantanu Shahane, Sheide Chammas, Deniz A. Bezgin, Aaron B. Buhendwa, Steffen J. Schmidt, Nikolaus A. Adams, Spencer H. Bryngelson, Yi-Fan Chen, Qing Wang, Fei Sha, Leonardo Zepeda-Núñez

CoRR, 2024

Back-Projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models.

Borong Zhang, Martin Guerra, Qin Li, Leonardo Zepeda-Núñez

CoRR, 2024

A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data.

Benedikt Barthel Sorensen, Leonardo Zepeda-Núñez, Ignacio Lopez-Gomez, Zhong Yi Wan, Rob Carver, Fei Sha, Themistoklis P. Sapsis

CoRR, 2024

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems.

Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville.

Shi Chen, Zhiyan Ding, Qin Li, Leonardo Zepeda-Núñez

SIAM J. Imaging Sci., March, 2023

Learning to correct spectral methods for simulating turbulent flows.

Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer

Trans. Mach. Learn. Res., 2023

Efficient long-range convolutions for point clouds.

Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez

J. Comput. Phys., 2023

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations.

Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang, Yi-Fan Chen, John Robert Anderson, Fei Sha

CoRR, 2023

Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models.

Zhong Yi Wan, Ricardo Baptista, Anudhyan Boral, Yi-Fan Chen, John Anderson, Fei Sha, Leonardo Zepeda-Núñez

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations.

Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang, Yi-Fan Chen, John Anderson, Fei Sha

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems.

Marc Anton Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Núñez

Proceedings of the International Conference on Machine Learning, 2023

Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems.

Zhong Yi Wan, Leonardo Zepeda-Núñez, Anudhyan Boral, Fei Sha

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Wide-Band Butterfly Network: Stable and Efficient Inversion Via Multi-Frequency Neural Networks.

Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez

Multiscale Model. Simul., December, 2022

Bridging and Improving Theoretical and Computational Electrical Impedance Tomography via Data Completion.

Tan Bui-Thanh, Qin Li, Leonardo Zepeda-Núñez

SIAM J. Sci. Comput., 2022

Solving the Wide-band Inverse Scattering Problem via Equivariant Neural Networks.

Borong Zhang, Leonardo Zepeda-Núñez, Qin Li

CoRR, 2022

2021

Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks.

Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin

J. Comput. Phys., 2021

Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime.

Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez

CoRR, 2021

Bridging and Improving Theoretical and Computational Electric Impedance Tomography via Data Completion.

Tan Bui-Thanh, Qin Li, Leonardo Zepeda-Núñez

CoRR, 2021

2020

L-Sweeps: A scalable, parallel preconditioner for the high-frequency Helmholtz equation.

Matthias Taus, Leonardo Zepeda-Núñez, Russell J. Hewett, Laurent Demanet

J. Comput. Phys., 2020

Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of finding the needle in a haystack.

Jiefu Zhang, Leonardo Zepeda-Núñez, Yuan Yao, Lin Lin

CoRR, 2020

2019

Projection-Based Embedding Theory for Solving Kohn-Sham Density Functional Theory.

Lin Lin, Leonardo Zepeda-Núñez

Multiscale Model. Simul., 2019

A Multiscale Neural Network Based on Hierarchical Matrices.

Yuwei Fan, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez

Multiscale Model. Simul., 2019

2018

Nested Domain Decomposition with Polarized Traces for the 2D Helmholtz Equation.

Leonardo Zepeda-Núñez, Laurent Demanet

SIAM J. Sci. Comput., 2018

A hybrid approach to solve the high-frequency Helmholtz equation with source singularity in smooth heterogeneous media.

Jun Fang, Jianliang Qian, Leonardo Zepeda-Núñez, Hongkai Zhao

J. Comput. Phys., 2018

2016

Fast Alternating BiDirectional Preconditioner for the 2D High-Frequency Lippmann-Schwinger Equation.

Leonardo Zepeda-Núñez, Hongkai Zhao

SIAM J. Sci. Comput., 2016

The method of polarized traces for the 2D Helmholtz equation.

Leonardo Zepeda-Núñez, Laurent Demanet

J. Comput. Phys., 2016