Daniel Zhengyu Huang

According to our database, Daniel Zhengyu Huang authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities.

José A. Carrillo, Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Dongyi Wei

CoRR, 2024

Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows.

Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart

CoRR, 2024

Convergence Analysis of Probability Flow ODE for Score-based Generative Models.

Daniel Zhengyu Huang, Jiaoyang Huang, Zhengjiang Lin

CoRR, 2024

An operator learning perspective on parameter-to-observable maps.

Daniel Zhengyu Huang, Nicholas H. Nelsen, Margaret Trautner

CoRR, 2024

2023

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries.

Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar

J. Mach. Learn. Res., 2023

SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions.

Ziyuan Liu, Yuhang Wu, Daniel Zhengyu Huang, Hong Zhang, Xu Qian, Songhe Song

CoRR, 2023

Sampling via Gradient Flows in the Space of Probability Measures.

Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart

CoRR, 2023

Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance.

Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart

CoRR, 2023

2022

EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration.

Oliver R. A. Dunbar, Ignacio Lopez-Gomez, Alfredo Garbuno-Iñigo, Daniel Zhengyu Huang, Eviatar Bach, Jinlong Wu

J. Open Source Softw., December, 2022

Power Iteration for Tensor PCA.

Jiaoyang Huang, Daniel Zhengyu Huang, Qing Yang, Guang Cheng

J. Mach. Learn. Res., 2022

Iterated Kalman methodology for inverse problems.

Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart

J. Comput. Phys., 2022

Efficient Derivative-free Bayesian Inference for Large-Scale Inverse Problems.

Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart

CoRR, 2022

The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks.

Maarten V. de Hoop, Daniel Zhengyu Huang, Elizabeth Qian, Andrew M. Stuart

CoRR, 2022

Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty.

Luning Sun, Daniel Huang, Hao Sun, Jian-Xun Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning constitutive relations using symmetric positive definite neural networks.

Kailai Xu, Daniel Zhengyu Huang, Eric Darve

J. Comput. Phys., 2021

Long Random Matrices and Tensor Unfolding.

Gérard Ben Arous, Daniel Zhengyu Huang, Jiaoyang Huang

CoRR, 2021

Bayesian Calibration for Large-Scale Fluid Structure Interaction Problems Under Embedded/Immersed Boundary Framework.

Shunxiang Cao, Daniel Zhengyu Huang

CoRR, 2021

Unscented Kalman Inversion: Efficient Gaussian Approximation to the Posterior Distribution.

Daniel Zhengyu Huang, Jiaoyang Huang

CoRR, 2021

Improve Unscented Kalman Inversion With Low-Rank Approximation and Reduced-Order Model.

Daniel Zhengyu Huang, Jiaoyang Huang

CoRR, 2021

Unscented Kalman Inversion.

Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart

CoRR, 2021

2020

Learning constitutive relations from indirect observations using deep neural networks.

Daniel Zhengyu Huang, Kailai Xu, Charbel Farhat, Eric Darve

J. Comput. Phys., 2020

High-order partitioned spectral deferred correction solvers for multiphysics problems.

Daniel Zhengyu Huang, Will Pazner, Per-Olof Persson, Matthew J. Zahr

J. Comput. Phys., 2020

A computationally tractable framework for nonlinear dynamic multiscale modeling of membrane fabric.

Philip Avery, Daniel Zhengyu Huang, Wanli He, Johanna Ehlers, Armen Derkevorkian, Charbel Farhat

CoRR, 2020

2019

Modeling, simulation and validation of supersonic parachute inflation dynamics during Mars landing.

Daniel Zhengyu Huang, Philip Avery, Charbel Farhat, Jason Rabinovitch, Armen Derkevorkian, Lee D. Peterson

CoRR, 2019

An Embedded Boundary Approach for Resolving the Contribution of Cable Subsystems to Fully Coupled Fluid-Structure Interaction.

Daniel Zhengyu Huang, Philip Avery, Charbel Farhat

CoRR, 2019

2018

A family of position- and orientation-independent embedded boundary methods for viscous flow and fluid-structure interaction problems.

Daniel Zhengyu Huang, Dante De Santis, Charbel Farhat

J. Comput. Phys., 2018