Thesis and Dissertations from CaltechTHESIS
- Sun, Jennifer J. (2024) AI
for Scientists: Accelerating Discovery Through Knowledge, Data, and
Learning; 10.7907/d6y8-4590
- Huang, Yujia (2024) Understanding
and Improving Reliability of Inference Dynamics in Deep Neural
Networks; 10.7907/77cc-6z86
- Shi, Guanya (2023) Reliable
Learning and Control in Dynamic Environments: Towards Unified Theory and
Learned Robotic Agility; 10.7907/8rz4-7b35
- Dorobantu, Victor David (2023) Geometry
and Dynamical Systems in Machine Learning and Control; 10.7907/x271-r088
- Bernstein, Jeremy David (2023) Optimisation
& Generalisation in Networks of Neurons; 10.7907/1jz8-5t85
- Zhan, Eric (2022) New
Algorithms for Programmatic Deep Learning with Applications to Behavior
Modeling; 10.7907/5n5q-x203
- Zou, Sarah Jin (2022) An
Efficient Environment Encoding for Trajectory Feasibility and Cost
Predictions; 10.7907/605s-5h91
- Song, Jialin (2021) Learning
to Optimize: from Theory to Practice; 10.7907/7qaw-kd75
- Marino, Joseph Louis (2021) Learned
Feedback & Feedforward Perception & Control; 10.7907/4mjd-ce53
- Novoseller, Ellen Rachel (2021) Online
Learning from Human Feedback with Applications to Exoskeleton Gait
Optimization; 10.7907/gvtx-1586
- Le, Hoang Minh (2020) New
Frameworks for Structured Policy Learning; 10.7907/rz4w-k233
- Periyakoil, Preethi Kasthuri (2018) Utilizing
Machine Learning Techniques to Rapidly Identify MUC2 Expression in Colon
Cancer Tissues; 10.7907/sapn-r691
- Zheng, Stephan Tao (2018) Exploiting
Structure for Scalable and Robust Deep Learning; 10.7907/4S2Y-CY80