Anandkumar, Animashree

Combined from CaltechTHESIS committee

• Wang, Yixuan (2026) Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches; 10.7907/gf82-wx70
• Li, Zongyi (2025) Neural Operator for Scientific Computing; 10.7907/fz9s-fq86
• Solomon, Samuel Aaron (2025) A Path Towards Wearable Affective General Intelligence; 10.7907/2s0x-qq57
• 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
• 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
• 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
• Schäfer, Florian Tobias (2021) Inference, Computation, and Games; 10.7907/esyv-2181
• London, Palma Alise den Nijs (2021) Frameworks for High Dimensional Convex Optimization; 10.7907/db29-am33
• Le, Hoang Minh (2020) New Frameworks for Structured Policy Learning; 10.7907/rz4w-k233
• Cvitkovic, Michael William (Milan0 (2020) Deep Learning in Unconventional Domains; 10.7907/v7dm-6r52