Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots. - Théo Bourdais; Pau Batlle; Xianjin Yang; Ricardo Baptista; Nicolas Rouquette; Houman Owhadi (CoRR, 2023)

Model aggregation: minimizing empirical variance outperforms minimizing empirical error. - Théo Bourdais; Houman Owhadi (CoRR, 2024)

Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models. - Théo Bourdais; Houman Owhadi (ICLR, 2025)

Pruning Deep Neural Networks via a Combination of the Marchenko-Pastur Distribution and Regularization. - Leonid Berlyand; Théo Bourdais; Houman Owhadi; Yitzchak Shmalo (CoRR, 2025)

Discovering Algorithms with Computational Language Processing. - Théo Bourdais; Abeynaya Gnanasekaran; Houman Owhadi; Tuhin Sahai (CoRR, 2025)