Bio

I'm an incoming PhD student at Stanford at the Institute of Computational and Mathematical Engineering (ICME). Before that, also at Stanford, I completed my master's degree in computer science and my bachelor's degree in mathematics.

Broadly, I am interested in deep learning theory, including developing interpretable machine learning models and mathematics which helps explain their behavior. Currently, I am working on tabular foundation models. If you are interested in collaborating, please feel free to reach out!

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All Publications

  • MLPs are Hebbians: Constructing Efficient Fact-Storing MLPs for Transformers Third Conference on Language Modeling (COLM 2026) Garcia, R., Liu, J., Junkins, R. G., Dugan, O. M., Zinsley, D., Eyuboglu, S., Rudra, A., Ré, C. 2026

    View details for DOI 10.48550/arXiv.2607.10034

  • Restructuring Vector Quantization with the Rotation Trick The Thirteenth International Conference on Learning Representations (ICLR 2025) Fifty, C., Junkins, R. G., Duan, D., Iyengar, A., Liu, J. W., Amid, E., Thrun, S., Ré, C. 2025

    View details for DOI 10.48550/arXiv.2410.06424

  • Context-Aware Meta-Learning Twelfth International Conference on Learning Representations (ICLR 2024) Fifty, C., Duan, D., Junkins, R. G., Amid, E., Leskovec, J., Ré, C., Thrun, S. 2024

    View details for DOI 10.48550/arXiv.2310.10971