Yunan Yang

According to our database, Yunan Yang authored at least 35 papers between 2017 and 2024.

Collaborative distances:

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

2024

Suppressing instability in a Vlasov-Poisson system by an external electric field through constrained optimization.

Lukas Einkemmer, Qin Li, Li Wang, Yunan Yang

J. Comput. Phys., February, 2024

Differential Equation-Constrained Optimization with Stochasticity.

Qin Li, Li Wang, Yunan Yang

SIAM/ASA J. Uncertain. Quantification, 2024

Invariant Measures in Time-Delay Coordinates for Unique Dynamical System Identification.

Jonah Botvinick-Greenhouse, Robert Martin, Yunan Yang

CoRR, 2024

Sampling with Adaptive Variance for Multimodal Distributions.

Björn Engquist, Kui Ren, Yunan Yang

CoRR, 2024

Multi-Window Approaches for Direct and Stable STFT Phase Retrieval.

Rima Alaifari, Yunan Yang

CoRR, 2024

Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow.

Qin Li, Maria Oprea, Li Wang, Yunan Yang

CoRR, 2024

Measure-Theoretic Time-Delay Embedding.

Jonah Botvinick-Greenhouse, Maria Oprea, Romit Maulik, Yunan Yang

CoRR, 2024

Adjoint Monte Carlo Method.

Russel Caflisch, Yunan Yang

CoRR, 2024

Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World.

Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael C. Huang, Tong Geng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Monte Carlo Gradient in Optimization Constrained by Radiative Transport Equation.

Qin Li, Li Wang, Yunan Yang

SIAM J. Numer. Anal., December, 2023

Adjoint DSMC for nonlinear spatially-homogeneous Boltzmann equation with a general collision model.

Yunan Yang, Denis Silantyev, Russel Caflisch

J. Comput. Phys., September, 2023

Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems.

Levon Nurbekyan, Wanzhou Lei, Yunan Yang

SIAM J. Sci. Comput., August, 2023

Optimal Transport for Parameter Identification of Chaotic Dynamics via Invariant Measures.

Yunan Yang, Levon Nurbekyan, Elisa Negrini, Robert Martin, Mirjeta Pasha

SIAM J. Appl. Dyn. Syst., March, 2023

Adaptive Preconditioned Gradient Descent with Energy.

Hailiang Liu, Levon Nurbekyan, Xuping Tian, Yunan Yang

CoRR, 2023

Differential-Equation Constrained Optimization With Stochasticity.

Qin Li, Li Wang, Yunan Yang

CoRR, 2023

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

Jonah Botvinick-Greenhouse, Yunan Yang, Romit Maulik

CoRR, 2023

Adaptive State-Dependent Diffusion for Derivative-Free Optimization.

Björn Engquist, Kui Ren, Yunan Yang

CoRR, 2023

Learning Dynamical Systems From Invariant Measures.

Jonah Botvinick-Greenhouse, Robert Martin, Yunan Yang

CoRR, 2023

Neural Inverse Operators for Solving PDE Inverse Problems.

Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra

Proceedings of the International Conference on Machine Learning, 2023

Tuning Frequency Bias in Neural Network Training with Nonuniform Data.

Annan Yu, Yunan Yang, Alex Townsend

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning.

Zhuo Liu, Yunan Yang, Zhenyu Pan, Anshujit Sharma, Amit Hasan, Caiwen Ding, Ang Li, Michael C. Huang, Tong Geng

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.

Yunan Yang, Alex Townsend, Daniel Appelö

J. Comput. Appl. Math., 2022

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

Annan Yu, Yunan Yang, Alex Townsend

CoRR, 2022

An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization.

Björn Engquist, Kui Ren, Yunan Yang

CoRR, 2022

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

Levon Nurbekyan, Wanzhou Lei, Yunan Yang

CoRR, 2022

A Generalized Weighted Optimization Method for Computational Learning and Inversion.

Kui Ren, Yunan Yang, Björn Engquist

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion.

Matthew M. Dunlop, Yunan Yang

SIAM/ASA J. Uncertain. Quantification, 2021

Adjoint DSMC for nonlinear Boltzmann equation constrained optimization.

Russel Caflisch, Denis Silantyev, Yunan Yang

J. Comput. Phys., 2021

Implicit Regularization Effects of the Sobolev Norms in Image Processing.

Yunan Yang, Jingwei Hu, Yifei Lou

CoRR, 2021

2020

Anderson Acceleration for Seismic Inversion.

Yunan Yang

CoRR, 2020

Anderson Acceleration Using the H^-s Norm.

Yunan Yang, Alex Townsend, Daniel Appelö

CoRR, 2020

Optimal Transport Based Seismic Inversion: Beyond Cycle Skipping.

Björn Engquist, Yunan Yang

CoRR, 2020

2019

The quadratic Wasserstein metric for inverse data matching.

Björn Engquist, Kui Ren, Yunan Yang

CoRR, 2019

Seismic imaging and optimal transport.

Björn Engquist, Yunan Yang

Commun. Inf. Syst., 2019

2017

Analysis of Optimal Transport Related Misfit Functions in Seismic Imaging.

Yunan Yang, Björn Engquist

Proceedings of the Geometric Science of Information - Third International Conference, 2017