On Non-Linear operators for Geometric Deep Learning. - Grégoire Sergeant-Perthuis; Jakob Maier; Joan Bruna; Edouard Oyallon (NeurIPS, 2022)

Asymmetric tree correlation testing for graph alignment. - Jakob Maier; Laurent Massoulié (ITW, 2023)

Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem. - Mathieu Even; Luca Ganassali; Jakob Maier; Laurent Massoulié (NeurIPS, 2024)

Asymmetric graph alignment and the phase transition for asymmetric tree correlation testing. - Jakob Maier; Laurent Massoulié (CoRR, 2025)