Iterated Kalman methodology for inverse problems
Huang, Daniel Zhengyu, Schneider, Tapio, Stuart, Andrew M.
Published in Journal of computational physics (15.08.2022)
Published in Journal of computational physics (15.08.2022)
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Journal Article
Efficient derivative-free Bayesian inference for large-scale inverse problems
Huang, Daniel Zhengyu, Huang, Jiaoyang, Reich, Sebastian, Stuart, Andrew M
Published in Inverse problems (01.12.2022)
Published in Inverse problems (01.12.2022)
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Journal Article
AI-aided geometric design of anti-infection catheters
Zhou, Tingtao, Wan, Xuan, Huang, Daniel Zhengyu, Li, Zongyi, Peng, Zhiwei, Anandkumar, Anima, Brady, John F, Sternberg, Paul W, Daraio, Chiara
Published in Science advances (05.01.2024)
Published in Science advances (05.01.2024)
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Journal Article
Online learning of eddy-viscosity and backscattering closures for geophysical turbulence using ensemble Kalman inversion
Guan, Yifei, Hassanzadeh, Pedram, Schneider, Tapio, Dunbar, Oliver, Huang, Daniel Zhengyu, Wu, Jinlong, Lopez-Gomez, Ignacio
Year of Publication 08.09.2024
Year of Publication 08.09.2024
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Journal Article
Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
Carrillo, José A, Chen, Yifan, Huang, Daniel Zhengyu, Huang, Jiaoyang, Wei, Dongyi
Year of Publication 22.07.2024
Year of Publication 22.07.2024
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Journal Article
Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows
Chen, Yifan, Huang, Daniel Zhengyu, Huang, Jiaoyang, Reich, Sebastian, Stuart, Andrew M
Year of Publication 25.06.2024
Year of Publication 25.06.2024
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Journal Article
Efficient Derivative-free Bayesian Inference for Large-Scale Inverse Problems
Huang, Daniel Zhengyu, Huang, Jiaoyang, Reich, Sebastian, Stuart, Andrew M
Year of Publication 09.04.2022
Year of Publication 09.04.2022
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Journal Article
SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions
Liu, Ziyuan, Wu, Yuhang, Huang, Daniel Zhengyu, Zhang, Hong, Qian, Xu, Song, Songhe
Year of Publication 11.12.2023
Year of Publication 11.12.2023
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Journal Article
Sampling via Gradient Flows in the Space of Probability Measures
Chen, Yifan, Huang, Daniel Zhengyu, Huang, Jiaoyang, Reich, Sebastian, Stuart, Andrew M
Year of Publication 05.10.2023
Year of Publication 05.10.2023
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Journal Article
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance
Chen, Yifan, Huang, Daniel Zhengyu, Huang, Jiaoyang, Reich, Sebastian, Stuart, Andrew M
Year of Publication 21.02.2023
Year of Publication 21.02.2023
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Journal Article