Lucas Roberts

Lucas Roberts

Applied Machine Learning and Artificial Intelligence Researcher

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Nearest-neighbor matchup effects: accounting for team matchups for predicting March Madness

Published in Journal of Quantitative Analysis in Sports, 2015

We introduce our novel nearest-neighbor matchup effects framework, which presents a flexible way to account for team characteristics above and beyond team strength that may influence game outcomes. The paper was covered by several media outlets, click into the page to see one example.

Recommended citation: Hoegh, A., Carzolio, M., Crandell, I., Hu, X., Roberts, L., Song, Y., & Leman, S. C. (2015). Nearest-neighbor matchup effects: accounting for team matchups for predicting March Madness. Journal of Quantitative Analysis in Sports, 11(1), 29-37.
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Conference Papers

Smart Vision-Language Reasoners

Published in ICML 2024, 2024

Images in Math AI Considered harmful? Not quite. This paper demonstrates improved performance on question answering problems in math by customizing the neural network architecture to pool information from both vision and text backbones. The improvements come from a custom QF layer which includes multihead self attention layers as well as a cross attention layer (vision & text). We fine tune the model using the smart-101 dataset presented in CVPR 2023.

Recommended citation: Roberts D, Roberts L. Smart Vision-Language Reasoners. arXiv preprint arXiv:2407.04212. 2024 Jul 5.
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