Analysis of Optimal Transport Related Misfit Functions in Seismic Imaging. - Yunan Yang; Björn Engquist (GSI, 2017)

Seismic imaging and optimal transport. - Björn Engquist; Yunan Yang (Commun. Inf. Syst., 2019)

The quadratic Wasserstein metric for inverse data matching. - Björn Engquist; Kui Ren 002; Yunan Yang (CoRR, 2019)

Optimal Transport Based Seismic Inversion: Beyond Cycle Skipping. - Björn Engquist; Yunan Yang (CoRR, 2020)

Anderson Acceleration Using the H-s Norm. - Yunan Yang; Alex Townsend; Daniel Appelö (CoRR, 2020)

Anderson Acceleration for Seismic Inversion. - Yunan Yang (CoRR, 2020)

Implicit Regularization Effects of the Sobolev Norms in Image Processing. - Yunan Yang; Jingwei Hu; Yifei Lou (CoRR, 2021)

Adjoint DSMC for nonlinear Boltzmann equation constrained optimization. - Russel Caflisch; Denis Silantyev; Yunan Yang (J. Comput. Phys., 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)

A Generalized Weighted Optimization Method for Computational Learning and Inversion. - Kui Ren 002; Yunan Yang; Björn Engquist (ICLR, 2022)

Efficient Natural Gradient Descent Methods for Large-Scale Optimization Problems. - Levon Nurbekyan; Wanzhou Lei; Yunan Yang (CoRR, 2022)

An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization. - Björn Engquist; Kui Ren 002; Yunan Yang (CoRR, 2022)

A Quadrature Perspective on Frequency Bias in Neural Network Training with Nonuniform Data. - Annan Yu; Yunan Yang; Alex Townsend (CoRR, 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)

Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning. - Zhuo Liu; Yunan Yang; Zhenyu Pan; Anshujit Sharma; Amit Hasan 001; Caiwen Ding; Ang Li 006; Michael C. Huang 001; Tong Geng (DAC, 2023)

Tuning Frequency Bias in Neural Network Training with Nonuniform Data. - Annan Yu; Yunan Yang; Alex Townsend (ICLR, 2023)

Neural Inverse Operators for Solving PDE Inverse Problems. - Roberto Molinaro; Yunan Yang; Björn Engquist; Siddhartha Mishra (ICML, 2023)

Learning Dynamical Systems From Invariant Measures. - Jonah Botvinick-Greenhouse; Robert Martin; Yunan Yang (CoRR, 2023)

Adaptive State-Dependent Diffusion for Derivative-Free Optimization. - Björn Engquist; Kui Ren 002; 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)

Differential-Equation Constrained Optimization With Stochasticity. - Qin Li 007; Li Wang 101; Yunan Yang (CoRR, 2023)

Adaptive Preconditioned Gradient Descent with Energy. - Hailiang Liu; Levon Nurbekyan; Xuping Tian; Yunan Yang (CoRR, 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., 2023)

Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems. - Levon Nurbekyan; Wanzhou Lei; Yunan Yang (SIAM J. Sci. Comput., 2023)

Adjoint DSMC for nonlinear spatially-homogeneous Boltzmann equation with a general collision model. - Yunan Yang; Denis Silantyev; Russel Caflisch (J. Comput. Phys., 2023)

Monte Carlo Gradient in Optimization Constrained by Radiative Transport Equation. - Qin Li 007; Li Wang 101; Yunan Yang (SIAM J. Numer. Anal., 2023)

Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World. - Chunshu Wu; Ruibing Song; Chuan Liu 001; Yunan Yang; Ang Li 006; Michael C. Huang 001; Tong Geng (ICLR, 2024)

Adjoint Monte Carlo Method. - Russel Caflisch; Yunan Yang (CoRR, 2024)

Measure-Theoretic Time-Delay Embedding. - Jonah Botvinick-Greenhouse; Maria Oprea; Romit Maulik; Yunan Yang (CoRR, 2024)

Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow. - Qin Li; Maria Oprea; Li Wang; Yunan Yang (CoRR, 2024)

Multi-Window Approaches for Direct and Stable STFT Phase Retrieval. - Rima Alaifari; Yunan Yang (CoRR, 2024)

Sampling with Adaptive Variance for Multimodal Distributions. - Björn Engquist; Kui Ren 002; Yunan Yang (CoRR, 2024)

Invariant Measures in Time-Delay Coordinates for Unique Dynamical System Identification. - Jonah Botvinick-Greenhouse; Robert Martin; Yunan Yang (CoRR, 2024)

Differential Equation-Constrained Optimization with Stochasticity. - Qin Li 007; Li Wang 033; Yunan Yang (SIAM/ASA J. Uncertain. Quantification, 2024)

Suppressing instability in a Vlasov-Poisson system by an external electric field through constrained optimization. - Lukas Einkemmer; Qin Li 007; Li Wang 101; Yunan Yang (J. Comput. Phys., 2024)

"You are the sea". Human-Sea Interoception through Sailboats Motion Detection and Biometric Data Overlay. - Mirna Zordan; Yong Zhao; Jiakun Pei; Yunan Yang; Luwen Zhang (Conference on Designing Interactive Systems (Companion Volume), 2025)

Learning Where to Learn: Training Distribution Selection for Provable OOD Performance. - Nicolas Guerra; Nicholas H. Nelsen; Yunan Yang (CoRR, 2025)