Anandkumar, Animashree

Monograph from CaltechTHESIS committee

• Zhao, Jiawei (2025) Understanding and Improving Efficiency in Training of Deep Neural Networks; 10.7907/jgq8-et91
• 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
• Stevens, Benjamin Carter (2022) Applications of Machine Learning to Finite Volume Methods; 10.7907/41qn-7n22
• Cheng, Lixue (2022) Accurate and Transferable Molecular-Orbital-Based Machine Learning for Molecular Modeling; 10.7907/cjak-4x38
• Kovachki, Nikola Borislavov (2022) Machine Learning and Scientific Computing; 10.7907/8nc5-cc67