Philipp Schmocker

According to our database, Philipp Schmocker authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Multilevel Picard approximations for McKean-Vlasov stochastic differential equations with nonconstant diffusion.

Ariel Neufeld, Tuan Anh Nguyen, Philipp Schmocker

CoRR, February, 2025

Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs.

Ariel Neufeld, Philipp Schmocker, Sizhou Wu

Commun. Nonlinear Sci. Numer. Simul., 2025

2024

Solving stochastic partial differential equations using neural networks in the Wiener chaos expansion.

Ariel Neufeld, Philipp Schmocker

CoRR, 2024

Universal approximation results for neural networks with non-polynomial activation function over non-compact domains.

Ariel Neufeld, Philipp Schmocker

CoRR, 2024

Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs with infinite activity.

Ariel Neufeld, Philipp Schmocker, Sizhou Wu

CoRR, 2024

2023

Universal Approximation Property of Random Neural Networks.

Ariel Neufeld, Philipp Schmocker

CoRR, 2023

Global universal approximation of functional input maps on weighted spaces.

Christa Cuchiero, Philipp Schmocker, Josef Teichmann

CoRR, 2023

2022

Chaotic Hedging with Iterated Integrals and Neural Networks.

Ariel Neufeld, Philipp Schmocker

CoRR, 2022