Browse by Committee Member

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Cheng, Lixue (2022) Accurate and Transferable Molecular-Orbital-Based Machine Learning for Molecular Modeling. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/cjak-4x38. https://resolver.caltech.edu/CaltechThesis:04012022-153013173

Cvitkovic, Michael William (Milan0 (2020) Deep Learning in Unconventional Domains. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/v7dm-6r52. https://resolver.caltech.edu/CaltechTHESIS:04082020-095943405

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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

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Li, Zhuofang (2024) Essays on Trustworthy Online Platforms. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/pehn-1h63. https://resolver.caltech.edu/CaltechTHESIS:05242024-015558368

Lale, Ali Sahin (2023) Learning and Control of Dynamical Systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/rdhq-8a88. https://resolver.caltech.edu/CaltechTHESIS:05282023-011333603

London, Palma Alise den Nijs (2021) Frameworks for High Dimensional Convex Optimization. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/db29-am33. https://resolver.caltech.edu/CaltechTHESIS:08162020-233437139

Le, Hoang Minh (2020) New Frameworks for Structured Policy Learning. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/rz4w-k233. https://resolver.caltech.edu/CaltechTHESIS:06092020-121556493

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Qiao, Zhuoran (2023) Physics-Informed Neural Approaches for Multiscale Molecular Modeling and Design. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/48d1-ja21. https://resolver.caltech.edu/CaltechTHESIS:12102022-055022458

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Renn, Peter Ian James (2023) Applied Machine Learning for Prediction and Control of Fluid Flows. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/smnv-tz73. https://resolver.caltech.edu/CaltechTHESIS:02272023-230531120

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Stevens, Benjamin Carter (2022) Applications of Machine Learning to Finite Volume Methods. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/41qn-7n22. https://resolver.caltech.edu/CaltechTHESIS:02062022-203334930

Schäfer, Florian Tobias (2021) Inference, Computation, and Games. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/esyv-2181. https://resolver.caltech.edu/CaltechTHESIS:06082021-005706263