Graph Neural Stochastic Differential Equations. - Richard Bergna; Felix L. Opolka; Pietro Liò; José Miguel Hernández-Lobato (CoRR, 2023)

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations. - Richard Bergna; Sergio Calvo-Ordoñez; Felix L. Opolka; Pietro Lio; José Miguel Hernández-Lobato (ICLR, 2025)

Observation Noise and Initialization in Wide Neural Networks. - Sergio Calvo-Ordoñez; Jonathan Plenk; Richard Bergna; Alvaro Cartea; José Miguel Hernández-Lobato; Konstantina Palla; Kamil Ciosek (CoRR, 2025)

Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes. - Richard Bergna; Stefan Depeweg; Sergio Calvo-Ordoñez; Jonathan Plenk; Alvaro Cartea; José Miguel Hernández-Lobato (CoRR, 2025)