Browse by Committee Member

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

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

López Gómez, Ignacio (2023) A Unified Data-Informed Model of Turbulence and Convection for Climate Prediction. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/042m-9686. https://resolver.caltech.edu/CaltechTHESIS:11152022-215747755

Ocegueda, Eric (2023) Physics-Based and Data-Driven Computational Models of Inelastic Deformations. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/3gqd-zp93. https://resolver.caltech.edu/CaltechTHESIS:05312023-212652388

Zhang, Ziyun (2023) Low-Rank Matrix Recovery: Manifold Geometry and Global Convergence. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/hd6q-g460. https://resolver.caltech.edu/CaltechTHESIS:05302023-222447373

Chen, Jiajie (2022) Singularity Formation in Incompressible Fluids and Related Models. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/nqff-dh92. https://resolver.caltech.edu/CaltechTHESIS:05172022-223804694

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

Rosa-Raíces, Jorge Luis (2022) Path Space Markov Chain Monte Carlo Methods for Molecular Simulation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/10jr-hg67. https://resolver.caltech.edu/CaltechTHESIS:03292022-234015177

Anderson, Thomas Geoffrey (2021) Hybrid Frequency-Time Analysis and Numerical Methods for Time-Dependent Wave Propagation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/hmv1-r869. https://resolver.caltech.edu/CaltechTHESIS:09042020-172204130

Kusanovic, Danilo Smiljan (2021) Improving Reduced Order Models of Soil-Structure Interaction Using an Ensemble Kalman Inversion Finite Element Model Updating Framework. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/m2qj-s182. https://resolver.caltech.edu/CaltechTHESIS:12092020-002934412

Yoo, Gene Ryan (2021) Learning Patterns with Kernels and Learning Kernels from Patterns. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/c5fn-ac81. https://resolver.caltech.edu/CaltechTHESIS:09062020-172055989

Huang, De (2020) Positive Definite Matrices: Compression, Decomposition, Eigensolver, and Concentration. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/g2nt-yy27. https://resolver.caltech.edu/CaltechTHESIS:05222020-162227420

Taeb, Armeen (2020) Latent-Variable Modeling: Algorithms, Inference, and Applications. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/YRF1-7W29. https://resolver.caltech.edu/CaltechTHESIS:09222019-132051506

Budninskiy, Maxim A. (2019) Geometry-Driven Model Reduction. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/0RCX-0369. https://resolver.caltech.edu/CaltechTHESIS:12102018-011614041

Soh, Yong Sheng (2019) Fitting Convex Sets to Data: Algorithms and Applications. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/jkmq-b430. https://resolver.caltech.edu/CaltechTHESIS:09282018-091842941

da Silva, Andre Fernando de Castro (2019) An EnKF-Based Flow State Estimator for Aerodynamic Problems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/W327-VF41. https://resolver.caltech.edu/CaltechTHESIS:09072018-105527896

Catanach, Thomas Anthony (2017) Computational Methods for Bayesian Inference in Complex Systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9RX9948. https://resolver.caltech.edu/CaltechTHESIS:06042017-011739366

Zhang, Pengchuan (2017) Compressing Positive Semidefinite Operators with Sparse/Localized Bases. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z91N7Z5J. https://resolver.caltech.edu/CaltechTHESIS:05312017-000636495