基本信息
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职业迁徙
个人简介
My research lies at the intersection of Machine Learning, Formal Methods and Robotics. I am
particularly interested in
• Developing formal analysis tools for learning-enabled systems to prove safety and robustness.
• Developing data-efficient techniques that combine machine learning and formal methods to improve
system performance and ensure safety in unknown environments.
• Developing computationally efficient representation learning algorithms to train robust models and
bridge the gap between simulation and real-world applications.
研究兴趣
论文共 18 篇作者统计合作学者相似作者
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Proceedings of the AAAI Conference on Artificial Intelligenceno. 11 (2024): 12061-12071
Springer eBookspp.735-757, (2023)
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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systemsno. 99 (2023): 1-1
International Conference on Machine Learning (2022): 6074-6102
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Automated Technology for Verification and Analysis (ATVA) (2022): 414-430
EPiC Series in Computing (2022)
arXiv (Cornell University) (2021)
ARCHpp.107-139, (2020)
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