Piecewise Strong Convexity of Neural Networks. - Tristan Milne (NeurIPS, 2019)

Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees. - Tristan Milne; Étienne Bilocq; Adrian I. Nachman (CoRR, 2021)

Wasserstein GANs with Gradient Penalty Compute Congested Transport. - Tristan Milne; Adrian I. Nachman (COLT, 2022)

A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications. - Tristan Milne; Étienne Bilocq; Adrian I. Nachman (CoRR, 2022)

An Optimal Transport Analogue of the Rudin-Osher-Fatemi Model and Its Corresponding Multiscale Theory. - Tristan Milne; Adrian I. Nachman (SIAM J. Math. Anal., 2024)