Victor Robila

At Columbia, with Drs. Junfeng Yang and Kexin Pei (now at UChicago), I evaluated machine learning models for mathematical operations. I specifically had a focus on developing a robust comparison of human developed and automatically sourced networks for this issue. A paper outlining my work can be found on ArXiv at (https://arxiv.org/pdf/2211.15416.pdf) or below.

Robila, V., Pei K., Yang J., Development of a Neural Network-Based Mathematical Operation Protocol for Embedded Hexadecimal Digits Using Neural Architecture Search (NAS). 2022 https://arxiv.org/abs/2211.15416, ArXiv.org. pp. 1-6, https://doi.org/10.48550/arXiv.2211.15416