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2020 – today
- 2024
[j10]Lukas Einkemmer, Qin Li
, Li Wang, Yunan Yang:
Suppressing instability in a Vlasov-Poisson system by an external electric field through constrained optimization. J. Comput. Phys. 498: 112662 (2024)- [j9]Qin Li, Li Wang, Yunan Yang:
Differential Equation-Constrained Optimization with Stochasticity. SIAM/ASA J. Uncertain. Quantification 12(2): 549-578 (2024) - [c6]Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael C. Huang, Tong Geng:
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World. ICLR 2024 - [i22]Russel Caflisch, Yunan Yang:
Adjoint Monte Carlo Method. CoRR abs/2401.08361 (2024) - [i21]Jonah Botvinick-Greenhouse, Maria Oprea, Romit Maulik, Yunan Yang:
Measure-Theoretic Time-Delay Embedding. CoRR abs/2409.08768 (2024) - 2023
- [j8]Yunan Yang, Denis Silantyev, Russel Caflisch:
Adjoint DSMC for nonlinear spatially-homogeneous Boltzmann equation with a general collision model. J. Comput. Phys. 488: 112247 (2023) - [j7]Yunan Yang, Levon Nurbekyan, Elisa Negrini, Robert Martin, Mirjeta Pasha:
Optimal Transport for Parameter Identification of Chaotic Dynamics via Invariant Measures. SIAM J. Appl. Dyn. Syst. 22(1): 269-310 (2023) - [j6]Qin Li, Li Wang, Yunan Yang:
Monte Carlo Gradient in Optimization Constrained by Radiative Transport Equation. SIAM J. Numer. Anal. 61(6): 2744-2774 (2023) - [j5]Levon Nurbekyan, Wanzhou Lei, Yunan Yang:
Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems. SIAM J. Sci. Comput. 45(4) (2023) - [c5]Zhuo Liu, Yunan Yang, Zhenyu Pan, Anshujit Sharma, Amit Hasan, Caiwen Ding, Ang Li, Michael C. Huang, Tong Geng:
Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning. DAC 2023: 1-6 - [c4]Annan Yu, Yunan Yang, Alex Townsend:
Tuning Frequency Bias in Neural Network Training with Nonuniform Data. ICLR 2023 - [c3]Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra:
Neural Inverse Operators for Solving PDE Inverse Problems. ICML 2023: 25105-25139 - [i20]Jonah Botvinick-Greenhouse, Robert Martin, Yunan Yang:
Learning Dynamical Systems From Invariant Measures. CoRR abs/2301.05193 (2023) - [i19]Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra:
Neural Inverse Operators for Solving PDE Inverse Problems. CoRR abs/2301.11167 (2023) - [i18]Björn Engquist, Kui Ren, Yunan Yang:
Adaptive State-Dependent Diffusion for Derivative-Free Optimization. CoRR abs/2302.04370 (2023) - [i17]Jonah Botvinick-Greenhouse, Yunan Yang, Romit Maulik:
Generative Modeling of Time-Dependent Densities via Optimal Transport and Projection Pursuit. CoRR abs/2304.09663 (2023) - [i16]Qin Li, Li Wang, Yunan Yang:
Differential-Equation Constrained Optimization With Stochasticity. CoRR abs/2305.04024 (2023) - [i15]Lukas Einkemmer, Qin Li, Li Wang, Yunan Yang:
Suppressing Instability in a Vlasov-Poisson System by an External Electric Field Through Constrained Optimization. CoRR abs/2305.17994 (2023) - [i14]Hailiang Liu, Levon Nurbekyan, Xuping Tian, Yunan Yang:
Adaptive Preconditioned Gradient Descent with Energy. CoRR abs/2310.06733 (2023) - 2022
- [j4]Yunan Yang, Alex Townsend, Daniel Appelö:
Anderson acceleration based on the H-s Sobolev norm for contractive and noncontractive fixed-point operators. J. Comput. Appl. Math. 403: 113844 (2022) - [c2]Kui Ren, Yunan Yang, Björn Engquist:
A Generalized Weighted Optimization Method for Computational Learning and Inversion. ICLR 2022 - [i13]Kui Ren, Yunan Yang, Björn Engquist:
A Generalized Weighted Optimization Method for Computational Learning and Inversion. CoRR abs/2201.09223 (2022) - [i12]Levon Nurbekyan, Wanzhou Lei, Yunan Yang:
Efficient Natural Gradient Descent Methods for Large-Scale Optimization Problems. CoRR abs/2202.06236 (2022) - [i11]Björn Engquist, Kui Ren, Yunan Yang:
An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization. CoRR abs/2204.05923 (2022) - [i10]Annan Yu, Yunan Yang, Alex Townsend:
A Quadrature Perspective on Frequency Bias in Neural Network Training with Nonuniform Data. CoRR abs/2205.14300 (2022) - [i9]Yunan Yang, Denis Silantyev, Russel Caflisch:
Adjoint DSMC for Nonlinear Spatially-Homogeneous Boltzmann Equation With a General Collision Model. CoRR abs/2207.11579 (2022) - [i8]Qin Li, Li Wang, Yunan Yang:
Monte Carlo Gradient in Optimization Constrained by Radiative Transport Equation. CoRR abs/2209.12114 (2022) - 2021
- [j3]Russel Caflisch, Denis Silantyev, Yunan Yang:
Adjoint DSMC for nonlinear Boltzmann equation constrained optimization. J. Comput. Phys. 439: 110404 (2021) - [j2]Matthew M. Dunlop, Yunan Yang:
Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion. SIAM/ASA J. Uncertain. Quantification 9(4): 1499-1526 (2021) - [i7]Yunan Yang, Jingwei Hu, Yifei Lou:
Implicit Regularization Effects of the Sobolev Norms in Image Processing. CoRR abs/2109.06255 (2021) - 2020
- [i6]Björn Engquist, Yunan Yang:
Optimal Transport Based Seismic Inversion: Beyond Cycle Skipping. CoRR abs/2002.00031 (2020) - [i5]Yunan Yang, Alex Townsend, Daniel Appelö:
Anderson Acceleration Using the H-s Norm. CoRR abs/2002.03694 (2020) - [i4]Matthew M. Dunlop, Yunan Yang:
Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion. CoRR abs/2004.03730 (2020) - [i3]Yunan Yang:
Anderson Acceleration for Seismic Inversion. CoRR abs/2008.11778 (2020) - [i2]Russel Caflisch, Denis Silantyev, Yunan Yang:
Adjoint DSMC for nonlinear Boltzmann equation constrained optimization. CoRR abs/2009.01363 (2020)
2010 – 2019
- 2019
- [j1]Björn Engquist, Yunan Yang:
Seismic imaging and optimal transport. Commun. Inf. Syst. 19(2): 95-145 (2019) - [i1]Björn Engquist, Kui Ren, Yunan Yang:
The quadratic Wasserstein metric for inverse data matching. CoRR abs/1911.06911 (2019) - 2017
- [c1]Yunan Yang, Björn Engquist:
Analysis of Optimal Transport Related Misfit Functions in Seismic Imaging. GSI 2017: 109-116
Coauthor Index
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