Publications

This is a (mostly) up-to-date list of my recent publications, which you can also find on my Google Scholar page.

2026

William Hofgard, Asaf Cohen, and Mathieu Laurière, “Operator Learning for Families of Finite-State Mean-Field Games,” 2026, arXiv preprint.

2025

Andrew Mastin, William Hofgard, and Jean-Paul Watson, “A Formulation for Power Flow Interdiction with Bounded Big-M Values,” submitted to Mathematical Programming, 2025.

2024

William Hofgard, “Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability,” NeurIPS 2024 Workshop on Data-Driven and Differentiable Simulations, Surrogates, and Solvers (D3S3), 2024, OpenReview.

William Hofgard, Jingruo Sun, and Asaf Cohen, “Convergence of the Deep Galerkin Method for Mean Field Control Problems,” 2024, arXiv preprint.