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Short description of portfolio item number 1
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Published in Proceedings of the ACM on Programming Languages, 2023
Recommended citation: Zhe Tao, Stephanie Nawas, Jacqueline Mitchell, and Aditya V. Thakur. 2023. Architecture-Preserving Provable Repair of Deep Neural Networks. Proc. ACM Program. Lang. 7, PLDI, Article 124 (June 2023), 25 pages. https://doi.org/10.1145/3591238
Published in Symposium on AI Verification, 2024
Recommended citation: Stephanie Nawas, Zhe Tao, and Aditya V. Thakur. 2024. Provable Repair of Vision Transformers. Symposium on AI Verification SAIV (July 2024). https://link.springer.com/book/9783031651113
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Undergraduate Course, Santa Clara University, Mathematics, 2019
Peer Educator for MATH51 Discrete Mathematics.
Undergraduate Course, University of California, Davis, Computer Science Engineering, 2022
Teaching Assistant for ECS140A Programming Languages.
Undergraduate Course, University of California, Davis, Computer Science Engineering, 2025
Teaching Assistant for ECS32A Introduction to Programming.
High School Camp, University of California, Davis, AI Institute for Food Systems, 2026
Instructor for AIFS High School Summer AI Tech Camp.