Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification. - Maximilian Stadler; Bertrand Charpentier; Simon Geisler; Daniel Zügner; Stephan Günnemann (NeurIPS, 2021)

Geometry-Informed Neural Operator for Large-Scale 3D PDEs. - Zongyi Li; Nikola B. Kovachki; Christopher B. Choy; Boyi Li; Jean Kossaifi; Shourya Prakash Otta; Mohammad Amin Nabian; Maximilian Stadler; Christian Hundt 002; Kamyar Azizzadenesheli; Animashree Anandkumar (NeurIPS, 2023)

Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE. - Jesun Firoz; Franco Pellegrini; Mario Geiger; Darren Hsu; Jenna A. Bilbrey; Han-Yi Chou; Maximilian Stadler; Markus Hoehnerbach; Tingyu Wang; Dejun Lin; Emine Küçükbenli; Henry W. Sprueill; et al. (CoRR, 2025)