Browse by Advisor

B

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

C

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

K

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

L

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

N

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

T

Trautner, Margaret Katherine (2025) Operator Learning for Scientific Computing. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/s5p5-9j06. https://resolver.caltech.edu/CaltechTHESIS:05292025-172331972