I’m interested in understanding artificial minds composed of parametric functions at incredible scale. Understanding artificial intelligence is one of the most important problems of our time, and with my experience bridging mathematics and cognitive science (exemplified by my bachelor's thesis at Princeton, which won two awards and has been revised as a paper), I hope to contribute to the urgent project of interpretability.
Publications
A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks
C. Dawes, S. Segert, K. Krishnamurthy, J.D. Cohen
Finding Multiply Lensed and Binary Quasars in the DESI Legacy Imaging Surveys
C. Dawes, C. Storfer, X. Huang, G. Aldering, A. Cikota, A. Dey, D.J. Schlegel