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Anandkumar, Animashree
Monograph from
CaltechTHESIS committee
Li, Zhuofang (2024)
Essays on Trustworthy Online Platforms
;
10.7907/pehn-1h63
Qiao, Zhuoran (2023)
Physics-Informed Neural Approaches for Multiscale Molecular Modeling and Design
;
10.7907/48d1-ja21
Lale, Ali Sahin (2023)
Learning and Control of Dynamical Systems
;
10.7907/rdhq-8a88
Renn, Peter Ian James (2023)
Applied Machine Learning for Prediction and Control of Fluid Flows
;
10.7907/smnv-tz73
Kovachki, Nikola Borislavov (2022)
Machine Learning and Scientific Computing
;
10.7907/8nc5-cc67
Cheng, Lixue (2022)
Accurate and Transferable Molecular-Orbital-Based Machine Learning for Molecular Modeling
;
10.7907/cjak-4x38
Stevens, Benjamin Carter (2022)
Applications of Machine Learning to Finite Volume Methods
;
10.7907/41qn-7n22