Yunan Yang

Orcid: 0000-0001-7238-7978

According to our database1, Yunan Yang authored at least 28 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Suppressing instability in a Vlasov-Poisson system by an external electric field through constrained optimization.
J. Comput. Phys., February, 2024

Adjoint Monte Carlo Method.
CoRR, 2024

2023
Monte Carlo Gradient in Optimization Constrained by Radiative Transport Equation.
SIAM J. Numer. Anal., December, 2023

Adjoint DSMC for nonlinear spatially-homogeneous Boltzmann equation with a general collision model.
J. Comput. Phys., September, 2023

Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems.
SIAM J. Sci. Comput., August, 2023

Optimal Transport for Parameter Identification of Chaotic Dynamics via Invariant Measures.
SIAM J. Appl. Dyn. Syst., March, 2023

Adaptive Preconditioned Gradient Descent with Energy.
CoRR, 2023

Differential-Equation Constrained Optimization With Stochasticity.
CoRR, 2023

Generative Modeling of Time-Dependent Densities via Optimal Transport and Projection Pursuit.
CoRR, 2023

Adaptive State-Dependent Diffusion for Derivative-Free Optimization.
CoRR, 2023

Learning Dynamical Systems From Invariant Measures.
CoRR, 2023

Neural Inverse Operators for Solving PDE Inverse Problems.
Proceedings of the International Conference on Machine Learning, 2023

Tuning Frequency Bias in Neural Network Training with Nonuniform Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Anderson acceleration based on the H-s Sobolev norm for contractive and noncontractive fixed-point operators.
J. Comput. Appl. Math., 2022

A Quadrature Perspective on Frequency Bias in Neural Network Training with Nonuniform Data.
CoRR, 2022

An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization.
CoRR, 2022

Efficient Natural Gradient Descent Methods for Large-Scale Optimization Problems.
CoRR, 2022

A Generalized Weighted Optimization Method for Computational Learning and Inversion.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion.
SIAM/ASA J. Uncertain. Quantification, 2021

Adjoint DSMC for nonlinear Boltzmann equation constrained optimization.
J. Comput. Phys., 2021

Implicit Regularization Effects of the Sobolev Norms in Image Processing.
CoRR, 2021

2020
Anderson Acceleration for Seismic Inversion.
CoRR, 2020

Anderson Acceleration Using the H<sup>-s</sup> Norm.
CoRR, 2020

Optimal Transport Based Seismic Inversion: Beyond Cycle Skipping.
CoRR, 2020

2019
The quadratic Wasserstein metric for inverse data matching.
CoRR, 2019

Seismic imaging and optimal transport.
Commun. Inf. Syst., 2019

2017
Analysis of Optimal Transport Related Misfit Functions in Seismic Imaging.
Proceedings of the Geometric Science of Information - Third International Conference, 2017


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