Number of items: 14.
2025
Li, Zongyi
(2025)
Neural Operator for Scientific Computing.
Dissertation (Ph.D.), California Institute of Technology.
doi:10.7907/fz9s-fq86.
https://resolver.caltech.edu/CaltechTHESIS:06032025-033640769
Solomon, Samuel Aaron
(2025)
A Path Towards Wearable Affective General Intelligence.
Dissertation (Ph.D.), California Institute of Technology.
doi:10.7907/2s0x-qq57.
https://resolver.caltech.edu/CaltechTHESIS:05082025-224903418
Zhao, Jiawei
(2025)
Understanding and Improving Efficiency in Training of Deep Neural Networks.
Dissertation (Ph.D.), California Institute of Technology.
doi:10.7907/jgq8-et91.
https://resolver.caltech.edu/CaltechTHESIS:02122025-201948305
2024
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
2023
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
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
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
2022
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
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
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
2021
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
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
2020
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
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
This list was generated on Wed Jul 16 11:02:13 2025 UTC.
