Bayesian Filtering for ODEs with Bounded Derivatives. - Emilia Magnani; Hans Kersting; Michael Schober; Philipp Hennig (CoRR, 2017)

Full history recursive multilevel Picard approximations for ordinary differential equations with expectations. - Christian Beck; Martin Hutzenthaler; Arnulf Jentzen; Emilia Magnani (CoRR, 2021)

Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs. - Emilia Magnani; Nicholas Krämer; Runa Eschenhagen; Lorenzo Rosasco; Philipp Hennig (CoRR, 2022)

Linearization Turns Neural Operators into Function-Valued Gaussian Processes. - Emilia Magnani; Marvin Pförtner; Tobias Weber; Philipp Hennig (CoRR, 2024)

Learning convolution operators on compact Abelian groups. - Emilia Magnani; Ernesto De Vito; Philipp Hennig; Lorenzo Rosasco (CoRR, 2025)