Number of items: 5.
2024
Burov, Dmitry Anatolyevich
(2024)
Kernel Methods for Learning About Complex Dynamical Systems.
Dissertation (Ph.D.), California Institute of Technology.
doi:10.7907/zmmv-1a93.
https://resolver.caltech.edu/CaltechTHESIS:06082024-115947714
Nelsen, Nicholas Hao
(2024)
Statistical Foundations of Operator Learning.
Dissertation (Ph.D.), California Institute of Technology.
doi:10.7907/0246-7574.
https://resolver.caltech.edu/CaltechTHESIS:05142024-215222393
2023
Chen, Yifan
(2023)
On Multiscale and Statistical Numerical Methods for PDEs and Inverse Problems.
Dissertation (Ph.D.), California Institute of Technology.
doi:10.7907/83p4-c644.
https://resolver.caltech.edu/CaltechTHESIS:05292023-175108484
Levine, Matthew Emanuel
(2023)
Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data.
Dissertation (Ph.D.), California Institute of Technology.
doi:10.7907/b82h-ye78.
https://resolver.caltech.edu/CaltechTHESIS:06012023-213052258
2022
Kovachki, Nikola Borislavov
(2022)
Machine Learning and Scientific Computing.
Dissertation (Ph.D.), California Institute of Technology.
doi:10.7907/8nc5-cc67.
https://resolver.caltech.edu/CaltechTHESIS:05252022-180406320
This list was generated on Fri Feb 14 01:12:03 2025 UTC.
