Théo Bourdais

According to our database, Théo Bourdais authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks.

Zhizhen Zhang, Hyemin Gu, Benjamin J. Zhang, Daniel Elenius, Michael Tyrrell, Théo Bourdais, Houman Owhadi, Markos A. Katsoulakis, Tuhin Sahai

CoRR, May, 2026

2025

Operator Learning at Machine Precision.

Aras Bacho, Aleksei G. Sorokin, Xianjin Yang, Théo Bourdais, Edoardo Calvello, Matthieu Darcy, Alexander Hsu, Bamdad Hosseini, Houman Owhadi

CoRR, November, 2025

Discovering Algorithms with Computational Language Processing.

Théo Bourdais, Abeynaya Gnanasekaran, Houman Owhadi, Tuhin Sahai

CoRR, July, 2025

Pruning Deep Neural Networks via a Combination of the Marchenko-Pastur Distribution and Regularization.

Leonid Berlyand, Théo Bourdais, Houman Owhadi, Yitzchak Shmalo

CoRR, March, 2025

Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models.

Théo Bourdais, Houman Owhadi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Model aggregation: minimizing empirical variance outperforms minimizing empirical error.

Théo Bourdais, Houman Owhadi

CoRR, 2024

2023

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